"MCP servers with streamable-http support" matching MCP servers:

Enables AI assistants to work with Chapel code, including compiling, linting, and accessing educational primers.

Enables AI assistants to explore, search, and read codebase repositories and API specifications efficiently, with support for file searching, content search via ripgrep, and reading API specs.

An HTTP-based MCP server that provides filesystem tools and code analysis, enabling LLMs to read, write, list files, and analyze code securely.

A collection of MCP servers providing structured tools for ARM specification, verification, assembly analysis, and performance checks. They enable LLM agents and engineers to perform formal verification, analyze assembly code, and evaluate performance constraints.

Exposes the sigmap MCP server (code analysis tools) over Streamable HTTP via supergateway, allowing remote MCP clients to query code context, signatures, and more.

Enables structured, iterative reasoning for complex problem-solving with features like confidence tracking, revision mechanisms, and branching support. Provides flexible validation and multiple output formats for systematic analysis and decision-making tasks.

Exposes Cursor IDE's MCP tools (codebase search, file operations) as an HTTP API for integration with Open WebUI, n8n, and other automation tools.

Provides code generation and completion capabilities using the DeepSeek API, with support for tool chaining and cost optimization.

Integrates local language models (like Qwen3-8B) with MCP clients, providing tools for chat, code analysis, text generation, translation, and content summarization using your own hardware.

MCP server exposing GitHub tools for issues, pull requests, and code browsing via the GitHub REST API. Designed for local LLM clients with flat arguments and streamable HTTP support.

Enables ChatGPT Pro web to securely read workspace files, git diffs, and test records through OAuth-protected read-only MCP tools, so it can plan and review while Codex handles execution without uploading the repository.

Enables interactive GitHub pull-request review from Claude Code, with tools to fetch PRs, inspect files and repo structure, post review comments, and query a RAG index of the codebase.

Structured .aide spec files that give AI agents progressive disclosure into your codebase architecture via MCP.

Enables AI assistants to compile AdvPL/TLPP sources, generate and apply patches, and inspect RPO of TOTVS Protheus servers via the TDS Language Server.

Indexes a mono-repo into a knowledge graph and provides MCP tools to query code structure—packages, components, routes, HTTP calls—without file reads or grep round-trips.

Java profiling with AI agent integration. Profile CPU, memory, JDBC, HTTP and more.

Enables building MCP servers in TypeScript where tool schemas, descriptions, and validation are automatically generated from class methods, their TypeScript types, and JSDoc comments at compile time.

Security scanning for MCP servers from the inside out. Provides runtime inspection, AST-based static analysis, config audit, dependency analysis, and OWASP MCP Top 10 compliance in a single MCP server.

Bridges Claude Code to Language Server Protocol (LSP) servers to enable semantic code intelligence features like navigation, refactoring, and real-time diagnostics. It supports multiple languages including TypeScript, Python, and Rust with multi-root workspace capabilities.

Self-hosted hybrid code search MCP server with text, symbol, and semantic search layers. Runs locally, no third-party MCP servers, LSP, or SaaS.