Sanitizes and enhances user messages before LLM calls, preventing prompt injection and returning security status for agent protection.
MIT
718,134 tools. Updated 2026-10-29 09:58
"Connecting external data sources for contextual LLM calls" matching MCP tools:
- Retrieve messages from a chosen lane—assistant, user, or system—to give an external LLM the context needed for summarization.MIT
- Fetch external metadata from Wikipedia, TMDB, and TVDB to enrich Plex library items, providing informed discovery and trend analysis beyond native Plex data.MIT
- Get contextual guidance for using BookStack MCP tools, covering topics like authentication, content creation, user management, search, and best practices.MIT
- Create a closed sketch contour for connecting rods, levers, or tow bars by joining two circles with exact external tangent lines and shared endpoints.MIT
- Remove a custom cost annotation by its ID to eliminate contextual notes from cost data.MITDestructive
Matching MCP Servers
- FlicenseNot gradedqualityAmaintenancePersistent memory for AI coding agents: local-first semantic search, dependency graphs, git history.1-
- FlicenseNot gradedqualityCmaintenanceRead-only MCP server exposing homelab data sources (files, mail, calls) to Cloudflare OS, enabling read-only access to documents, emails, and call records.-
Matching MCP Connectors
Decode supported token calls and flag recipient or amount mismatches; no wallet or safety verdict.
Real-time, drift-verified LLM pricing across 26 providers with cost+quality model routing.
- List attached AI sources and external review targets to manage memory sources in Codex.MIT
- Scan mounted external sources to index their content for retrieval and search.MIT
- 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 external applications available for issue external links, so you can select the right app when connecting issues to external systems.MIT
- Suggests fixes for code errors by analyzing error messages and contextual data against historical error patterns.MIT
- Identify flaky tests by scanning for timing dependencies, random data, and external HTTP calls, using pytest failure cache for history.MIT
- Check the authentication status of external data sources linked to a knowledge base. Verify connections and identify auth issues quickly.-
- 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
- Create products in Beaconed from external non-Shopify data. Use external_id to prevent duplicate entries.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
- Retrieve a full identity profile by ID, including voice descriptors, writing samples, and contextual fields for analysis.MIT
- Build ready-to-use LLM prompts with context and facts for API calls, enabling intelligent conversation routing without full history dependencies.MIT