"A server for semantic API information and resources" matching MCP servers:

Enables extracting explicitly stated contract metadata, clauses, and obligations from user-supplied contract text without storing or modifying the data.

Natural language API discovery MCP server. Search 700+ API capabilities across 163 current providers, get, exact endpoints, auth setup, and code snippets. Supports auto-discovery of new APIs.

Provides direct access to 200M+ academic papers from Semantic Scholar, enabling paper search with advanced filters, author discovery, citation analysis, and AI-powered paper recommendations through natural language.

Provides AI assistants with access to OpenAPI specifications, enabling API discovery, schema retrieval, and direct API execution with support for OAuth 2.0 and other authentication methods.

MCP server for API discovery from .mind spec files, enabling AI assistants to list, inspect, and call APIs defined in OpenAPI specs.

Exposes OpenAPI/Swagger API documentation as MCP tools, enabling AI agents to search, inspect, and call API endpoints through natural language.

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

MCP server for DayZ Enforce Script that gives AI coding assistants deep knowledge of the DayZ scripting API with semantic search, code validation, class hierarchy, and reverse call graphs.

Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.

Fetches and parses Swagger/OpenAPI documentation from URLs, cleans and optimizes it to reduce token consumption, and provides standardized API descriptions to intelligent IDEs for suggestions, auto-completion, and code generation.

An MCP server that gives AI coding assistants access to up-to-date API documentation via RAG by crawling documentation sites, indexing them into a vector store, and enabling semantic queries.

Provides comprehensive development tools for Magic-API including documentation lookup, API testing, resource management, debugging with breakpoints, backup operations, and code search capabilities. Enables developers to efficiently build, test, and maintain Magic-API projects through natural language interactions.

MCP server for angr binary analysis API workflow retrieval. Extracts real API usage patterns from angr's source code and angr-doc examples, then indexes them with semantic search so LLMs can query correct API call sequences.

A Model Context Protocol server that fetches detailed API documentation from a local platform using a document ID. It enables language models to retrieve specific endpoint specifications to assist with tasks like code generation and API integration.

Provides offline access to AWS CDK API references and integration test code samples for both stable (aws-cdk-lib) and alpha (@aws-cdk) modules, enabling developers to browse CDK documentation through MCP resources.

Enables read-only exploration of YApi projects, categories, and interface docs, and deterministic TypeScript/JavaScript API request function and type generation through a preview-then-apply workflow.

Provides tools for accessing the Semantic Scholar API to search papers, retrieve paper and author details, and fetch citations and references through the Model Context Protocol.

Serves the Pancake API documentation to AI assistants, enabling them to search endpoints, retrieve full API contracts, webhook payloads, and guides without live API access.

Provides the real exported API surface and type signatures of any npm package, extracted from its published TypeScript declarations, enabling AI coding agents to use functions accurately and avoid inventing nonexistent APIs.

Semantic search over IMAGIN.studio API documentation — CDN configuration, integration guides, and data point references.