"React Router" matching MCP servers:

Enables a production-grade MCP-native router and multi-agent control plane, letting agents plan tasks, route tool calls to the right MCP servers, stream every step, and persist results in memory.

Routes SKILL.md libraries to any MCP client, enabling task matching and skill loading with embedding-based scoring, keyword fallback, and context-window discipline.

Enables agents to retrieve their current identity from IDENTITY.md and route durable lessons, preferences, rules, and corrections to the appropriate standing file over MCP stdio.

Provides 10 structured reasoning strategies (Chain of Thought, ReAct, Tree of Thoughts, etc.) for complex problem-solving with session persistence, branching, and tool integration capabilities.

Enables MCP-compatible agents to arbitrate typed state-action schemas, dispatch routine actions deterministically, and apply pre-escalation filters that reduce unnecessary frontier LLM calls. It supports low-latency, schema-enforced routing with safety guardrails and local-first memory retention.

Routes Claude MCP tool calls to multiple Obsidian vaults (local or remote) via a single server, enabling unified read/write/search operations across all vaults.

Enterprise-grade asynchronous multi-agent orchestration and MCP router mesh framework, enabling DAG-based workflows, consensus-driven agent swarms, and REST/telemetry gateway.

Persistent, append-only event log for AI agent coordination, enabling agents to publish, query, and react to structured events across tools and sessions.

A custom MCP server providing semantic note memory (Qdrant + FastEmbed) and optional web search (Tavily) tools for a LangGraph ReAct agent.

An enterprise internal knowledge base assistant that enables AI models to retrieve company wikis, regulations, and notices via the Model Context Protocol. It features a built-in React management dashboard for content editing and utilizes SQLite for efficient keyword and category-based searching.

Provides persistent multi-tier memory for local LLM agents, combining working, episodic, and semantic memory stores with a router that selects the relevant tier, all exposed as MCP tools for compatible clients.

HTTP MCP gateway for a learning corpus with Pinecone, Neo4j, and agentic router, enabling remote agents to query via tools like route_query, query_namespace, graph_query, etc.

A local-first MCP server and CLI that gives coding agents structured project memory, task contracts, context packs, backlog workflows, and verification evidence, storing data in reviewable Markdown/YAML with a fast SQLite index.

8 standalone MCP servers for SMBs — Guardrails (prompt injection, PII, secrets detection), FinOps (AI cost tracking and budgets), Observability (agent tracing), Smart Router (17+ models, 9 providers), Trust Score (governance scoring 0-100), Memory (persistent agent memory), ThinkSecure (runtime security + SOC2/GDPR audit), and A2A Lite (agent-to-agent protocol). 37 tools total, TNC credits

A self-hostable, open-source, semantically-searchable Agent Skills registry delivered over MCP, with a three-tier progressive disclosure architecture.

Your coding agent can read the code. It can't read the argument behind it. lema-mcp gives your agent the recorded why — and the alternatives a project already ruled out — cited to the source. For React, Kubernetes, and Rust out of the box, and for your own repo with one command.