chore(release): backport #44066 to rc/1.105.0 (#44215)

* feat(mcp)!: disable stdio MCP servers by default (#44066)

* feat(mcp)!: disable stdio MCP servers by default

stdio MCP servers now only run when the proxy is started with
LITELLM_ENABLE_MCP_STDIO=true. While it is off, existing stdio servers stay
registered but never start: tool listings skip them quietly, direct tool
calls and health checks return a 403 naming the env var, and creating or
updating a stdio server is rejected. The flag is read from the process
environment only, so DB-stored environment_variables cannot turn it on.

The UI reads mcp_stdio_enabled from /.well-known/litellm-ui-config to grey
out the stdio transport, show a banner on stdio forms, and badge stdio
server cards.

BREAKING CHANGE: stdio MCP servers are off by default. Set
LITELLM_ENABLE_MCP_STDIO=true in the proxy environment and restart to keep
using them.

* fix(mcp): ignore stdio flag from config file and read UI flag from the selected worker

LITELLM_ENABLE_MCP_STDIO set under environment_variables in config.yaml is now skipped like the DB-stored value, so only the process environment can enable stdio. The dashboard reads mcp_stdio_enabled from the proxy it is managing, so a control plane shows each worker's own setting.

* test(mcp): cover non-mapping payloads in the shared transport validator

* fix(mcp): skip blocked stdio servers quietly in every listing and keep the UI unchanged until the flag loads

Prompt, resource and resource-template listings now skip a blocked stdio server at debug level like tool listing does, instead of logging a warning per server on every call. The dashboard only treats stdio as disabled once the proxy explicitly reports mcp_stdio_enabled false, so a proxy with the flag on, or an older one without the field, renders exactly as before with no flicker while loading.

* fix(mcp): route blocked stdio tool calls to the flag error and warn once per server

A gateway tools/call naming a blocked stdio server's tool now returns the
LITELLM_ENABLE_MCP_STDIO message instead of "Tool not found".

The "will not start" warning moves out of build_mcp_server_from_table, which
DB reload re-runs on every cycle for rows with a NULL updated_at and which
drafts and test-connection also call. It now fires when a row first enters
the registry or changes transport.

* fix(ui): explain on the server detail page why a stdio server is inert

The Overview and MCP Tools tabs showed "No tools available" with no reason
while stdio is disabled. The detail page now shows the same warning banner
as the edit form, and hands off to the form's banner once editing starts.

* refactor(ui): name the stdio banner conditions on the server detail page

Keeps local/no-long-condition-chain within its budget

* fix(proxy): log the ignored DB-stored LITELLM_ENABLE_MCP_STDIO warning once

The DB config sync re-reads environment_variables on every cycle, so a stored
flag logged the warning on each sync per worker

(cherry picked from commit 2b85808011)

* chore: update Next.js build artifacts (2026-10-02 17:40 UTC, node v24.19.0)

.circleci/scripts/run_integration.sh

@@ -169,7 +169,7 @@ start_proxy() {
     INTEGRATION_UPSTREAM_URL="$INTEGRATION_UPSTREAM_URL" \
     LITELLM_MASTER_KEY="$LITELLM_MASTER_KEY" LITELLM_SALT_KEY="$LITELLM_SALT_KEY" LITELLM_UI_PATH="$LITELLM_UI_PATH" PROXY_BASE_URL="http://127.0.0.1:$port" \
     LITELLM_LICENSE="${LITELLM_LICENSE:-}" \
-    LITELLM_MODE=PRODUCTION STORE_MODEL_IN_DB=True "${cost_map_env[@]}" \
+    LITELLM_MODE=PRODUCTION STORE_MODEL_IN_DB=True LITELLM_ENABLE_MCP_STDIO=true "${cost_map_env[@]}" \
     AWS_EC2_METADATA_DISABLED=true DO_NOT_TRACK=1 COVERAGE_FILE="$coverage_data" \
     "${proxy_command[@]}" --config tests/integration/proxy_config.yaml \
     --host 127.0.0.1 --port "$port" --num_workers 1 --telemetry False \

litellm/proxy/_experimental/mcp_server/mcp_server_manager.py

@@ -142,6 +142,12 @@ from litellm.proxy._experimental.mcp_server.result_conversion import (
 from litellm.proxy._experimental.mcp_server.sampling_handler import (
     MCP_SAMPLING_AVAILABLE,
 )
+from litellm.proxy._experimental.mcp_server.stdio_gate import (
+    MCP_STDIO_DISABLED_MESSAGE,
+    is_mcp_stdio_blocked,
+    is_mcp_stdio_enabled,
+    warn_if_mcp_stdio_blocked,
+)
 from litellm.proxy._experimental.mcp_server.tool_catalog_guard import (
     CatalogAlert,
     apply_description_overrides,
@@ -2464,6 +2470,7 @@ class MCPServerManager:
                 alias=alias,
                 server_name=server_name,
             )
+            warn_if_mcp_stdio_blocked(server_name, server_config.get("transport"))
 
             auth_type = server_config.get("auth_type", None)
             manual_issuer = _blank_to_none(server_config.get("issuer"))
@@ -3282,6 +3289,7 @@ class MCPServerManager:
                 # `credentials` field is the only one still encrypted here).
                 # Re-decrypting plaintext would zero the values, so build with
                 # env_vars_are_encrypted=False.
+                self._warn_if_newly_blocked_stdio(mcp_server, None)
                 new_server: Final = await self.build_mcp_server_from_table(mcp_server, env_vars_are_encrypted=False)
                 self._assign_unique_short_prefix(new_server)
                 self._invalidate_server_definition_caches(mcp_server.server_id)
@@ -4280,6 +4288,8 @@ class MCPServerManager:
 
         # Handle stdio transport
         if transport == MCPTransport.stdio:
+            if not is_mcp_stdio_enabled():
+                raise HTTPException(status_code=403, detail=MCP_STDIO_DISABLED_MESSAGE)
             resolved_env: Final = (
                 stdio_env
                 if stdio_env is not None
@@ -4439,6 +4449,9 @@ class MCPServerManager:
             global_mcp_tool_registry,
         )
 
+        if self._skip_blocked_stdio_listing(server, "tool"):
+            return []
+
         verbose_logger.debug("Connecting to url: %s", server.url)
         verbose_logger.info("_get_tools_from_server for %s...", server.name)
 
@@ -4638,6 +4651,19 @@ class MCPServerManager:
         )
         return server.server_id, hashlib.sha256(material.encode()).hexdigest()
 
+    @staticmethod
+    def _warn_if_newly_blocked_stdio(row: LiteLLM_MCPServerTable, previous: MCPServer | None) -> None:
+        if previous is None or previous.transport != row.transport:
+            warn_if_mcp_stdio_blocked(row.alias or row.server_name, row.transport)
+
+    def _skip_blocked_stdio_listing(self, server: MCPServer, listing: str) -> bool:
+        if not is_mcp_stdio_blocked(server.transport):
+            return False
+        verbose_logger.debug(
+            "Skipping %s listing for MCP server %s: %s", listing, server.name, MCP_STDIO_DISABLED_MESSAGE
+        )
+        return True
+
     async def get_prompts_from_server(
         self,
         server: MCPServer,
@@ -4648,6 +4674,8 @@ class MCPServerManager:
         raw_headers: dict[str, str] | None = None,
         client_ip: str | None = None,
     ) -> list[Prompt]:
+        if self._skip_blocked_stdio_listing(server, "prompt"):
+            return []
         try:
             headers: Final = (
                 dict(
@@ -4694,6 +4722,8 @@ class MCPServerManager:
         raw_headers: dict[str, str] | None = None,
         client_ip: str | None = None,
     ) -> list[Resource]:
+        if self._skip_blocked_stdio_listing(server, "resource"):
+            return []
         try:
             headers: Final = (
                 dict(
@@ -4740,6 +4770,8 @@ class MCPServerManager:
         raw_headers: dict[str, str] | None = None,
         client_ip: str | None = None,
     ) -> list[ResourceTemplate]:
+        if self._skip_blocked_stdio_listing(server, "resource template"):
+            return []
         try:
             headers: Final = (
                 dict(
@@ -6324,6 +6356,8 @@ class MCPServerManager:
                 mcp_server = fallback
         if mcp_server is None:
             raise ValueError(f"Tool {name} not found")
+        if is_mcp_stdio_blocked(mcp_server.transport):
+            raise HTTPException(status_code=403, detail=MCP_STDIO_DISABLED_MESSAGE)
 
         if resolved_by_server_name_only and not self.server_exposes_tool(mcp_server, name):
             raise ValueError(f"Tool {name} not found")
@@ -6708,7 +6742,10 @@ class MCPServerManager:
         if matched is not None:
             matched_prefix, original_tool_name = matched
             matched_server: Final = prefix_to_server.get(matched_prefix)
-            if matched_server is not None and self.server_exposes_tool(matched_server, original_tool_name):
+            if matched_server is not None and (
+                self.server_exposes_tool(matched_server, original_tool_name)
+                or is_mcp_stdio_blocked(matched_server.transport)
+            ):
                 return matched_server
 
         return None
@@ -6770,6 +6807,7 @@ class MCPServerManager:
                     alias=getattr(server, "alias", None),
                     server_name=getattr(server, "server_name", None),
                 )
+                self._warn_if_newly_blocked_stdio(server, existing_server)
                 verbose_logger.debug("Building server from DB: %s (%s)", server.server_id, server.server_name)
                 # raw_rows come straight from the DB, so their global env var
                 # values (like credentials) are still encrypted here, unlike the

litellm/proxy/_experimental/mcp_server/stdio_gate.py

@@ -0,0 +1,28 @@
+import os
+from typing import Final
+
+from litellm._logging import verbose_logger
+from litellm.types.mcp import MCPTransport
+
+MCP_STDIO_ENABLED_ENV_VAR: Final = "LITELLM_ENABLE_MCP_STDIO"
+MCP_STDIO_DISABLED_MESSAGE: Final = (
+    f"stdio MCP servers are disabled on this proxy. "
+    f"Set {MCP_STDIO_ENABLED_ENV_VAR}=true on the proxy and restart to enable them"
+)
+
+
+def is_mcp_stdio_enabled() -> bool:
+    return os.getenv(MCP_STDIO_ENABLED_ENV_VAR, "").strip().lower() == "true"
+
+
+def is_mcp_stdio_flag_key(env_var_name: str) -> bool:
+    return env_var_name.upper() == MCP_STDIO_ENABLED_ENV_VAR
+
+
+def is_mcp_stdio_blocked(transport: str | None) -> bool:
+    return transport == MCPTransport.stdio and not is_mcp_stdio_enabled()
+
+
+def warn_if_mcp_stdio_blocked(server_name: str | None, transport: str | None) -> None:
+    if is_mcp_stdio_blocked(transport):
+        verbose_logger.warning("MCP server '%s' will not start: %s", server_name, MCP_STDIO_DISABLED_MESSAGE)

litellm/proxy/_experimental/out/__next._tree.txt

@@ -1,4 +1,4 @@
 :HL["/litellm-asset-prefix/_next/static/chunks/1kid9zr1--h6y.css","style"]
-:HL["/litellm-asset-prefix/_next/static/chunks/3146e697tym4_.css","style"]
+:HL["/litellm-asset-prefix/_next/static/chunks/2alrbzipdex33.css","style"]
 :HL["/litellm-asset-prefix/_next/static/media/83afe278b6a6bb3c-s.p.2bn3s6zvc0dyp.woff2","font",{"crossOrigin":"","type":"font/woff2"}]
-0:{"tree":{"name":"","param":null,"prefetchHints":4176,"slots":{"children":{"name":"(dashboard)","param":null,"prefetchHints":4192,"slots":{"children":{"name":"__PAGE__","param":null,"prefetchHints":4256,"slots":null}}}}},"staleTime":300,"buildId":"kXnLzJ6ylsRPmgSkCkCKM"}
+0:{"tree":{"name":"","param":null,"prefetchHints":4176,"slots":{"children":{"name":"(dashboard)","param":null,"prefetchHints":4192,"slots":{"children":{"name":"__PAGE__","param":null,"prefetchHints":4256,"slots":null}}}}},"staleTime":300,"buildId":"quBUyCQG3gJ3QNK71eX1m"}

litellm/proxy/_experimental/out/_next/static/chunks/0bl98f8jm71jn.js

@@ -0,0 +1,35 @@
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+  "model": "openai/gpt-4o",
+  "messages": [
+    {
+      "role": "system",
+      "content": "You are a helpful assistant."
+    },
+    {
+      "role": "user",
+      "content": "Explain quantum computing in simple terms"
+    }
+  ],
+  "temperature": 0.7,
+  "max_tokens": 500,
+  "stream": true
+}`),[p,h]=(0,r.useState)(""),[x,f]=(0,r.useState)(!1),g=async()=>{f(!0);try{let a;try{a=JSON.parse(u)}catch(e){c.toast.fromError("Invalid JSON in request body"),f(!1);return}let o={call_type:"completion",request_body:a};if(!e){c.toast.fromError("No access token found"),f(!1);return}let n=await (0,d.transformRequestCall)(e,o);if(n.raw_request_api_base&&n.raw_request_body){var t,r,s;let e,a,o=(t=n.raw_request_api_base,r=n.raw_request_body,s=n.raw_request_headers||{},e=JSON.stringify(r,null,2).split("\n").map(e=>`  ${e}`).join("\n"),a=Object.entries(s).map(([e,t])=>`-H '${e}: ${t}'`).join(" \\\n  "),`curl -X POST \\
+  ${t} \\
+  ${a?`${a} \\
+  `:""}-H 'Content-Type: application/json' \\
+  -d '{
+${e}
+  }'`);h(o),c.toast.success("Request transformed successfully")}else{let e="string"==typeof n?n:JSON.stringify(n);h(e),c.toast.info("Transformed request received in unexpected format")}}catch(e){console.error("Error transforming request:",e),c.toast.fromError("Failed to transform request")}finally{f(!1)}};return(0,t.jsxs)("div",{className:"p-2",children:[(0,t.jsx)("h1",{className:"text-lg font-medium text-foreground",children:"Playground"}),(0,t.jsx)("p",{className:"text-sm text-muted-foreground",children:"See how LiteLLM transforms your request for the specified provider."}),(0,t.jsxs)("div",{className:"mt-4 grid grid-cols-1 gap-4 lg:grid-cols-2",children:[(0,t.jsxs)(n.Card,{children:[(0,t.jsxs)(n.CardHeader,{children:[(0,t.jsx)(n.CardTitle,{className:"text-2xl font-bold",children:"Original Request"}),(0,t.jsx)(n.CardDescription,{children:"The request you would send to LiteLLM /chat/completions endpoint."})]}),(0,t.jsx)(n.CardContent,{children:(0,t.jsx)(i.Textarea,{className:"h-72 resize-none p-4 font-mono text-sm field-sizing-fixed",value:u,onChange:e=>m(e.target.value),onKeyDown:e=>{(e.metaKey||e.ctrlKey)&&"Enter"===e.key&&(e.preventDefault(),g())},placeholder:"Press Cmd/Ctrl + Enter to transform"})}),(0,t.jsx)(n.CardFooter,{className:"justify-end",children:(0,t.jsxs)(o.Button,{onClick:g,disabled:x,children:[(0,t.jsx)("span",{children:"Transform"}),x?(0,t.jsx)(l.UiLoadingSpinner,{className:"size-4"}):(0,t.jsx)(s.ArrowRight,{})]})})]}),(0,t.jsxs)(n.Card,{children:[(0,t.jsxs)(n.CardHeader,{children:[(0,t.jsx)(n.CardTitle,{className:"text-2xl font-bold",children:"Transformed Request"}),(0,t.jsx)(n.CardDescription,{children:"How LiteLLM transforms your request for the specified provider."}),(0,t.jsx)("p",{className:"mt-2 text-xs text-muted-foreground",children:"Note: Sensitive headers are not shown."})]}),(0,t.jsx)(n.CardContent,{children:(0,t.jsxs)("div",{className:"relative rounded-md bg-muted",children:[(0,t.jsx)("pre",{className:"h-72 overflow-auto p-4 font-mono text-sm",children:p||`curl -X POST \\
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+  -H 'Authorization: Bearer sk-xxx' \\
+  -H 'Content-Type: application/json' \\
+  -d '{
+  "model": "gpt-4",
+  "messages": [
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litellm/proxy/_experimental/out/_next/static/chunks/0hemz_fopcsgo.js

@@ -0,0 +1 @@
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litellm/proxy/_experimental/out/_next/static/chunks/0iv7jb6y4ocy_.js

@@ -1,7 +1,7 @@
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 client = openai.OpenAI(
     api_key="your_api_key",
-    base_url="${r}" # LiteLLM Proxy is OpenAI compatible, Read More: https://docs.litellm.ai/docs/proxy/user_keys
+    base_url="${s}" # LiteLLM Proxy is OpenAI compatible, Read More: https://docs.litellm.ai/docs/proxy/user_keys
 )
 
 response = client.chat.completions.create(
@@ -14,7 +14,7 @@ response = client.chat.completions.create(
     ]
 )
 
-print(response)`})}),(0,t.jsx)(s.TabsContent,{value:"llamaindex",keepMounted:!0,children:(0,t.jsx)(n.default,{language:"python",code:`import os, dotenv
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 from llama_index.llms import AzureOpenAI
 from llama_index.embeddings import AzureOpenAIEmbedding
@@ -23,15 +23,15 @@ from llama_index import VectorStoreIndex, SimpleDirectoryReader, ServiceContext
 llm = AzureOpenAI(
     engine="azure-gpt-3.5",               # model_name on litellm proxy
     temperature=0.0,
-    azure_endpoint="${r}", # litellm proxy endpoint
-    api_key="sk-1234",                    # litellm proxy API Key
+    azure_endpoint="${s}", # litellm proxy endpoint
+    api_key="<your-master-key>",          # litellm proxy API Key
     api_version="2023-07-01-preview",
 )
 
 embed_model = AzureOpenAIEmbedding(
     deployment_name="azure-embedding-model",
-    azure_endpoint="${r}",
-    api_key="sk-1234",
+    azure_endpoint="${s}",
+    api_key="<your-master-key>",
     api_version="2023-07-01-preview",
 )
 
@@ -41,7 +41,7 @@ index = VectorStoreIndex.from_documents(documents, service_context=service_conte
 
 query_engine = index.as_query_engine()
 response = query_engine.query("What did the author do growing up?")
-print(response)`})}),(0,t.jsx)(s.TabsContent,{value:"langchain",keepMounted:!0,children:(0,t.jsx)(n.default,{language:"python",code:`from langchain.chat_models import ChatOpenAI
+print(response)`})}),(0,t.jsx)(r.TabsContent,{value:"langchain",keepMounted:!0,children:(0,t.jsx)(n.default,{language:"python",code:`from langchain.chat_models import ChatOpenAI
 from langchain.prompts.chat import (
     ChatPromptTemplate,
     HumanMessagePromptTemplate,
@@ -50,7 +50,7 @@ from langchain.prompts.chat import (
 from langchain.schema import HumanMessage, SystemMessage
 
 chat = ChatOpenAI(
-    openai_api_base="${r}",
+    openai_api_base="${s}",
     model = "gpt-3.5-turbo",
     temperature=0.1
 )
@@ -65,4 +65,4 @@ messages = [
 ]
 response = chat(messages)
 
-print(response)`})})]})]})})};var l=e.i(541202),d=e.i(135214),m=e.i(592392);e.s(["default",0,()=>{let{accessToken:e}=(0,d.default)(),n=(0,m.default)(e);return(0,t.jsxs)(t.Fragment,{children:[(0,t.jsx)(l.DeprecationBanner,{featureName:"The API Reference tab"}),(0,t.jsx)(i,{proxySettings:n})]})}],191905)},541202,e=>{"use strict";var t=e.i(843476),n=e.i(271645),s=e.i(522016),r=e.i(952571),a=e.i(37727);e.s(["DeprecationBanner",0,({featureName:e})=>{let[o,i]=(0,n.useState)(!1);return o?null:(0,t.jsxs)("div",{role:"alert",className:"mb-4 flex items-start gap-3 rounded-lg border border-border bg-muted/50 px-4 py-3 text-sm",children:[(0,t.jsx)(r.Info,{className:"mt-0.5 size-4 shrink-0 text-muted-foreground"}),(0,t.jsxs)("div",{className:"min-w-0 flex-1",children:[(0,t.jsx)("p",{className:"font-medium",children:`${e} is on a draft deprecation list`}),(0,t.jsxs)("p",{className:"mt-1 break-words text-muted-foreground",children:[`${e} is one of several experimental features we're considering removing, potentially as early as September 1, 2026. This list is a draft and is not final. If you rely on this feature, please share feedback on the `,(0,t.jsx)(s.default,{href:"https://github.com/BerriAI/litellm/discussions/32090",target:"_blank",rel:"noopener noreferrer",className:"underline underline-offset-4",children:"deprecation discussion"}),"."]})]}),(0,t.jsx)("button",{type:"button","aria-label":"Close",onClick:()=>i(!0),className:"shrink-0 rounded-md p-0.5 text-muted-foreground transition-colors hover:text-foreground",children:(0,t.jsx)(a.X,{className:"size-4"})})]})}])}]);
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