"Common Lisp" matching MCP servers:

MCP server for Common Thread that enables agents to drive the full investigation API, including creating investigations, managing seeds, ingesting data, attribution, and generating evidence packets.

Enables AI assistants to query and analyze Rell code via Language Server Protocol features like hover information, completions, diagnostics, and code actions. Automatically manages the Rell LSP server and provides resource-based access with real-time subscriptions.

Gives AI assistants read-only access to the Plugolis directory so users can search for MCP servers with install commands and ready-to-paste configs, and look up step-by-step fixes for common MCP errors.

Provides AI-enabled access to Amazon Business API documentation, sample code, and troubleshooting resources. Enables developers to search and retrieve API documentation, generate integration code, and get guided solutions for common errors during the API integration process.

Reads raw lab-instrument files (microscopy, mass spectrometry, chromatography, flow cytometry, NMR, electrophysiology, spectroscopy, plate readers, qPCR) without vendor software, returning metadata, images, spectra and traces as JSON. It also checks files for damage, runs common analyses, and exports to open formats such as OME-TIFF, OME-Zarr, mzML, Parquet and NWB.

Verified, version-pinned records of new dependency bugs. When your coding agent hits an error it cannot fix in one try, it looks the error up here before searching the web: on 56 fresh bugs it said correctly whether the bug was known or fixed 91% of the time with Cairn, 68% without. Read-only by default. Benchmark and data (CC BY 4.0): https://cairncommons.dev/benchmark

An MCP server that integrates AI retrievals with NASA's Common Metadata Repository (CMR), allowing users to search NASA's catalog of Earth science datasets through natural language queries.

Provides read-only access to MISP threat intelligence data, enabling event and attribute search, tag and taxonomy browsing, and galaxy lookups through natural language.

Bridges MCP-stdio clients to a remote emoji service, enabling emoji search, details, random picks, Emoji Kitchen mashups, and LLM-powered recommendations and replacement suggestions.

Enables clients to optimize prompt prefix caching by matching longest common token prefixes with a radix trie, eliminating redundant prefill computation and reducing time-to-first-token.

Enables users to query, create, and manage contracts in plain English from any MCP client, including drafting and sending agreements, tracking renewals and signers, and building templates. It supports OAuth-authenticated workflows with safe defaults such as creating drafts and confirming before sending or changing live agreements.

MCP server that lets LLMs interact with a running Prometheus instance via its API, enabling metric analysis, PromQL queries, and rule/target inspection. It also provides embedded documentation and guided runbooks for common Prometheus tasks.

Enables agent harnesses to run autonomous browser-based QA on staging apps, triage and fix found bugs, and re-verify them using the agent's existing model access.

A local MCP server for Kubernetes that applies RBAC-style, context-scoped access control to constrain AI agents, with tools for common Kubernetes operations.

An MCP server that enables AI agents to manage a TODO list with user authentication via Stytch. It provides tools for creating, reading, updating, and deleting TODO items while handling identity and authorization.

Enables AI assistants to search and compare airport lounges worldwide and check access eligibility by credit card, membership, airline status, or ticket class, with optional sign-in for logging visits, writing reviews, and maintaining a wishlist.

Enables users to log AI tool activity without conversation text and contribute back only user-approved, small-cell-suppressed counts through a local MCP interface.

Provides LLM clients with structured code intelligence through LSP servers, enabling queries for definitions, references, call hierarchies, and more.

Enables natural language search and discovery of open-access scientific datasets through the EOSC Data Commons OpenSearch service. Provides tools to search datasets and retrieve file metadata using LLM-assisted queries.