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478,959 tools. Updated 2026-08-26 14:35

"Connecting external data sources for contextual LLM calls" matching MCP tools:

Matching MCP Servers

  • F
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    maintenance
    Read-only MCP server exposing homelab data sources (files, mail, calls) to Cloudflare OS, enabling read-only access to documents, emails, and call records.
  • F
    license
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    quality
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    maintenance
    Provides RAG (Retrieval-Augmented Generation) capabilities via Contextual AI, enabling query processing and context-aware responses with citations. Integrates with MCP clients like Cursor IDE and Claude Desktop.
    1

Matching MCP Connectors

  • Coordinate multiple AI agents over MCP: atomic claims, leases, shared ledger, handoffs, tasks.

  • Find where to buy peptides from vetted, COA-tested vendors and check if a peptide vendor is legit.

  • Retrieve historical stock price data from local cache. Avoid external API calls by checking what data is available locally for a ticker and date range.
    MIT
  • Run contextualization on private source's pending chunks, re-embed them locally, and mark them enriched. Public sources are already contextual.
  • Lists the internal functions and methods a file calls, showing its outgoing call edges while omitting external library calls.
    MIT
  • Wire external data sources (weather, sensors, follower counts) to custom numeric parameters of a COMP. Specify channel-to-param mappings with range remapping and optional smoothing for jittery data.
    MIT
  • Validate workflow structure by checking DAG cycles, dependency references, and model ID format without LLM calls to ensure proper configuration before execution.
    MIT
  • Map all agent dependencies—models, connectors, and sub-agents—with call counts and timestamps. Identify which agents rely on a specific LLM before replacing it.
    MIT
  • List all functions called by a given function, categorized as internal, external, or library calls. Identifies low-level calls for tracing dependencies and control flow.
    AGPL 3.0
  • Search all captured LLM calls by prompt, output, agent, or user ID to locate specific calls, errors, or topics. Returns compact summaries with action IDs for deeper analysis.
    MIT
  • Create versioned data assets from S3, GCP, computation results, or combined sources for computational workflows in Code Ocean. Supports internal storage or external references without copying.
    MIT
  • Import content from external sources like Slack, Telegram, or Git with provenance tracking, normalization, and deduplication. Ensures accurate source attribution for every piece of content.
    MIT