"Cursor AI SDK and related codebase information" matching MCP servers:

Exposes Vercel AI SDK Core capabilities (generateObject, generateText, streamText, UI generation) to AI development environments like Cursor, designed to work in orchestration with other MCP servers for multi-step AI workflows.

A Model Context Protocol server that enables AI agents to retrieve and understand entire codebases at once, providing tools to analyze local workspaces or remote GitHub repositories.

Helps migrate projects from AI SDK 4.x to 5.0 by generating a migration checklist and searching the official migration guide for code and data changes.

Enables MCP-based hybrid semantic code search over repositories, providing tools for searching code by meaning or keyword, retrieving symbol definitions, finding usages, reading chunks, and listing indexed repos.

Enables hybrid and reranked semantic search across a repository's source code, documentation, and GitHub issues.

Enables AI agents to semantically search and navigate code repositories using natural language, with support for multiple repos, incremental indexing, and no local install needed.

Scoped, low-latency persistent memory layer for AI agents, Cursor, and Claude Code over Model Context Protocol with sub-50ms hybrid search.

A read-only MCP server that lets a Claude chat explore your local repository and answer questions about it, returning synthesized answers with file:line references.

A local-first MCP server that indexes code repositories and enables AI assistants to search, fetch, and navigate code using BM25 hybrid retrieval, supporting common languages and tools like Codex and ChatGPT.

A Model Context Protocol (MCP) server for Cursor IDE that simplifies the installation and configuration of other MCP servers.

A two-sided marketplace that enables AI agents to buy and sell datasets, prompt packs, and MCP tools using Bitcoin Lightning for instant settlement. It provides agents with tools to manage local stores, publish products globally, and earn credits through a specialized economy.

Enables LLM clients to search, read, and patch a trusted source repository with rollback-safe edits, Git operations, and allowlisted validation over stdio or OAuth-protected HTTP. Keeps secrets and arbitrary shell access out of reach while enforcing bounded batched I/O and operator-controlled workspace trust.

An MCP server that transforms a local codebase into a queryable, citation-grounded knowledge base using hybrid FAISS and BM25 retrieval, with optional reranking and swappable LLM providers.

Provides secure and efficient tools for codebase analysis, including file management, metadata retrieval, and dependency tree traversal. It allows LLMs to explore project structures and search for configuration files within a restricted root directory.

A configurable MCP server providing searchable access to AI/ML SDK source code and documentation, supporting frameworks like OpenAI Agents and Google ADK. It enables AI assistants to browse files, extract class definitions, and compare implementations across different SDKs.

Acts as a bridge between Claude's desktop application and the Cursor editor, enabling seamless AI-powered automation and multi-instance management across platforms with standardized communication and secure token-based authentication.

Enables AI assistants to semantically search and understand code repositories using PostgreSQL with pgvector embeddings. Provides repository indexing, natural language code search, and development task management with git integration.

A cross-agent MCP server development kit that lets you build once and connect with multiple AI agents including Claude Code, Cursor, Mavis, and OpenAI via stdio or HTTP.

Indexes codebases into Qdrant for semantic search, enabling AI assistants to find relevant code by meaning without re-exploring the repo.

A self-hosted MCP server that gives LLMs intelligent, semantic access to your codebase, enabling code search, recent changes, and function explanation.