"Using OpenRouter API to integrate calls to other LLMs on Claude desktop" matching MCP servers:

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

Turn Obsidian notes into agent-ready context, preview-only plans, and safe repo handoffs.

A Model Context Protocol server that enables conversational LLMs to delegate complex research tasks to specialized AI agents powered by various OpenRouter models, coordinated by a Claude orchestrator.

Provides a local, agent-maintained product context layer over MCP, serving structured strategy, competitor, customer feedback, and feature inventory data to any AI tool such as Claude, Cursor, or ChatGPT, with local data storage, bring-your-own-LLM support, and weekly evidence-based roadmap reviews that can sync suggestions to Jira or Linear.

Enables a shared persistent knowledge vault for Claude Desktop, allowing notes to be saved, retrieved, searched, updated, and deleted across Chat and Code tabs.

An intelligent, agentic MCP server gateway to OpenRouter's 200+ AI models. It provides budget controls, security features, semantic memory, and code search capabilities.

Integrates RAGFlow's knowledge base API with Claude Desktop for document retrieval, semantic search across multiple datasets, and intelligent query refinement using DSPy.

A local knowledge graph of your codebase for Claude Code on macOS, exposing structural data via MCP tools for querying calls, imports, test coverage, and impact analysis.

Exposes one SQLite-backed notes store over both stdio and an HTTPS/SSE endpoint, letting Claude Code, Claude Desktop, Claude web, and Claude mobile read and write the same shared state with full-text search. Provides write, read, search, and list tools so a note created on one surface is immediately visible from any other.

Pull Deep Memory from across your Claude Code Sessions — when you need it.

A persistent semantic memory system for Claude Code that provides a structured, versioned document store with semantic search and graph visualization. It acts as a memoization layer to store and retrieve research, design decisions, and codebase insights across different work sessions.

A lightweight MCP server that provides Claude Desktop with persistent memory across conversations by storing, summarizing, and retrieving conversation history.

Self-improving learning engine for Claude Code. Extracts signals from sessions (corrections, successes,confusion), runs periodic reflections, and evolves behavioral frameworks through evidence. 9 MCP tools, automatichooks, local-only.

An MCP server that gives Claude persistent, locally-stored memory with verification-gated lessons and a Pattern Oracle to prevent unverified guesses from becoming ingrained facts.

Post-hoc session handoff and project memory for Claude Code: MCP tools list_sessions and handoff turn any session — even crashed or usage-limit-hit ones — into a clean handoff.md another model can continue from, with secrets redacted from every output. Zero dependencies, fully local; also distills a project's entire session history into one cited memory brief.

MCP server that lets you search your Claude Code conversation history to find past solutions, track file changes, and learn from previous work.

Provides sophisticated context management for Claude, enabling persistent context across sessions, project-specific organization, and conversation continuity.

Persistent memory and session intelligence for AI coding assistants. Auto-tracks mistakes, decisions, and context via hooks. Mines your full session history for patterns, predictions, and cross-session search.

Provides persistent, searchable memory for Claude Code using local SQLite, semantic embeddings, and full-text search, enabling Claude to recall and retrieve context across sessions and projects without external services.

An MCP server that enables Claude to search, retrieve, and contribute to a community-driven archive of AI-generated solutions, notes, skills, and tools, fostering knowledge sharing among AI agents.