"Two agents working simultaneously" matching MCP servers:

MCP server that analyzes codebases with tree-sitter and generates AGENTS.md files for AI agents.

Provides MCP tools to list and search OpenAI Agents SDK documentation, enabling LLMs to retrieve documentation topics and content via natural language queries.

A plain-files brain template and MCP server that lets models read owned, portable working memory via list, read, and grep-style search tools.

Deterministic navigation maps over code AND markdown for AI agents: one MCP server, two lenses (tree-sitter TS/JS/Python + markdown). Map a whole project, read one function or one doc-section, ~99% less context. Merges codelens + docslens.

MCP server for semantic search across llms.txt documentation sources, with hybrid two-stage retrieval and automatic background refresh.

Enables semantic search and retrieval of eligible Pi skills through two read-only tools, while hiding the full skill catalog and enforcing invocation policy.

Enables coding assistants to access Perplexity AI for quick fact-checking and in-depth research. Provides two tools: lookup for fast documentation queries and answer for comprehensive research with recommendations.

Provides AI agents with Magento 2.4.8-p5 / PHP 8.3 technical standards, patterns, and review checklists via MCP tools, enabling them to reference the single source of truth when working on Magento projects.

A TypeScript server that enhances AI assistants' capabilities when working with Starwind UI components, providing tools for project initialization, component installation, documentation access, and more.

Helping coding agents never make mistakes working with public or private libraries without wasting the context window.

A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. This server is designed to be a helpful companion for developers working with MCP. Also comes with a huge list of servers you can install.

Enables working with large documents of any size by intelligently segmenting them and using TF-IDF search to retrieve only relevant fragments, preventing context window saturation. Provides 31 domain-agnostic tools for document ingestion, semantic analysis, epistemological validation, and extraction verification across formats like PDF, EPUB, and HTML.

MCP server providing parser-backed validation, parsing, documentation, and editor assistance for AI agents working with _hyperscript.

Enables agents to query a git-native markdown corpus for the specs governing a file in about two reads, plus supports lexical topic search with expansion. Includes maintenance loops that surface uncovered code and stale governing docs to keep the corpus honest.

Enables querying IETF documents, RFCs, working groups, and persons from the IETF Datatracker via MCP tools.

Two MCP endpoints for building cognitive AI agents. /blueprint/mcp serves a 9-chapter architecture blueprint (4 tools). /devops/mcp serves a 7-chapter coding agent playbook (3 tools). Each product has its own Gumroad license key. Free chapters available without auth.

Converts natural language specifications into working ladder logic and complete Studio 5000 projects, enabling AI-powered PLC programming with L5X and .ACD file generation, semantic search, and documentation access.

Enables querying Context7 V2 documentation through resolve-library-id and query-docs tools, alternating between two API keys and retrying when a key is blocked.

A local FastMCP STDIO server exposing two tools (ask_nist_rag and get_nist_visual) and one read-only resource (nist://visuals/catalog) that provides grounded question answering over NIST AI RMF documents using local RAG with selective OCR, hybrid retrieval, and verified visual figure retrieval.

Enables execution of shell commands through a terminal tool with working directory support and timeout protection. Also provides access to MCP documentation as a resource.