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ab78459097
Response transformation crashed with TypeError when counting tokens for multimodal (dict-shaped) embedding inputs, since encoding.encode() was called directly on the dict instead of its text parts. Also removed a dead, equally-buggy duplicate of the same loop in _transform_response. Separately, the embeddings guardrail handler silently skipped multimodal dict inputs instead of scanning them, letting prohibited text/image content bypass the configured guardrail. It now extracts and scans the text parts while leaving image parts untouched.
23 lines
1.1 KiB
JSON
23 lines
1.1 KiB
JSON
{
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"zapier": {
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"sse_url": "https://mcp.zapier.com/api/mcp"
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},
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"deepwiki": {
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"http_url": "https://mcp.deepwiki.com/mcp",
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"sse_url": "https://mcp.deepwiki.com/sse",
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"description": "The DeepWiki MCP server provides programmatic access to DeepWiki's repository documentation (Devin Wiki) and search capabilities (Devin Search)."
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},
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"jira": {
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"sse_url": "https://mcp.atlassian.com/v1/sse",
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"description": "The Jira MCP server provides programmatic access to Jira's issue tracking capabilities."
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},
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"linear": {
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"sse_url": "https://mcp.linear.app/sse",
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"description": "The Linear MCP server provides programmatic access to Linear's issue tracking capabilities."
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},
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"scrapegraph": {
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"http_url": "https://smithery.ai/api/mcp/scrapegraph-mcp",
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"sse_url": "https://smithery.ai/api/mcp/scrapegraph-mcp/sse",
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"description": "The ScrapeGraph MCP server provides programmatic access to ScrapeGraph AI's web scraping capabilities, including smart scraping, web crawling, search scraping, and agentic scraping workflows."
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}
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}
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