"Common Lisp" matching MCP servers:

Exposes CRUD operations for products via MCP tools and a resource, sharing a common business logic layer with a GraphQL API.

Connects MISP to MCP clients, enabling threat indicator lookups and submissions in plain language.

MISP (Malware Information Sharing Platform) MCP server with built-in prompt injection defense via prompt-defense-audit

Enables AI assistants to manage todo lists through natural language by creating, listing, updating, completing, and deleting tasks stored in Firebase Firestore. Supports custom system prompts for personalized task management workflows.

Provides conversational access to a local CVE (Common Vulnerabilities and Exposures) database, enabling natural language queries to search vulnerabilities, retrieve detailed CVE information, and view security statistics.

MCP server that enables AI assistants to interact with InterSystems IRIS databases through tools for SQL, globals, class methods, Atelier API, and interoperability, plus guided prompts for common workflows.

Enables secure read-only access to PostgreSQL databases through SELECT queries only, with tools for exploring schemas, listing tables, and executing common queries while preventing any data modification operations.

A local MCP server that wraps common forensic command-line tools for CTF/forensics competitions into MCP tools, enabling automated analysis of disk images, memory dumps, network captures, SQLite databases, archives, and steganography.

An MCP server that provides a semantic index and 14 bounded tools for AI agents to navigate Excel workbooks by symbols, references, and diagnostics, avoiding the need to read entire rows.

Enables safe exploration and querying of multiple databases (PostgreSQL, MySQL, SQLite, DB2) with read-only defaults, connection pooling, and parameterized queries for SQL injection prevention.

An employee-analytics MCP server backed by SQLite with pre-seeded sample data, providing tools for common SQL analytics such as top N earners, department averages, window functions, and subqueries.

An employee-analytics MCP server backed by SQLite that provides hand-written SQL queries for common analytics tasks like salary ranking and department statistics. It self-seeds sample data, enabling immediate testing of GROUP BY, window functions, NULL handling, and subqueries.

A collection of production-ready MCP tools for common tasks such as web search, code execution, file operations, and database queries, enabling AI agents to perform these actions through a unified interface.