MCP Servers Directory — Page 180

MCP server for accessing curated awesome list documentation

TypeScript SDK for interacting with the ContextBase MCP API.

Stop re-explaining yourself to Agents. Give it the right context, right when it needs it.

Context portability MCP server for compressing, formatting, and resuming AI conversation handoffs.

MCP memory server for AI coding assistants. Windows Service, ONNX embeddings, SQLite vector search.

Run efficiency for coding agents: share of paid tokens that became output, not context re-reading.

Persistent AI memory with shared team workspaces, typed knowledge chunks, and cross-tool support.

An MCP (Model Context Protocol) server that provides intelligent context management for AI development sessions. Never lose context when hitting token limits again!

LLM context gets messy fast: notes, logs, issue threads, docs, research dumps, and tool descriptions all pile up until the useful signal is buried

Share text, markdown, code, or HTML as auto-expiring links

ContextD helps AI coding assistants remember what works, learn from mistakes, and maintain context across sessions. It's designed for developers who

Customer memory with recall, confirmation, forgetting, and pre-action evidence checks.

Local-first durable AI memory with policy-bound recall and a typed project graph.

A Go tool that **distills command output and retrieves code context** before it reaches a paid LLM. Available as a **Skill** (recommended), a

Cut your Claude Code bill, measured on your own sessions. Profile and slim any LLM conversation.

Compress logs, retrieval chunks, and code context into structured LLM-ready signal.

Share one project context across ChatGPT, Claude, Telegram and any MCP client.

Context sync layer for AI agents. Ensures continuity and eliminates memory drift automatically.

<strong>Production-ready corpus analysis for the age of AI</strong>

Local MCP proxy: collapses N servers' tools into 4 meta-tools and compresses large tool outputs.

37-tool MCP server: context health, memory, reasoning, truthfulness & research pipeline.

Query your warehouse or a CSV with Claude/ChatGPT over MCP, governed by table-level ACL + audit.

Persistent memory MCP server for Claude Code, Cursor, and GitHub Copilot.

CLI-first context engine for agentic AI: local code search, evidence packs, MCP runtime context, and memory for Claude Code, Codex, Cursor, Windsurf

Your team's knowledge, always in context. SOPs, coding standards, and workflows for Claude.

Zero model drift between AI agents. Session continuity for Claude, GPT, Gemini, and any LLM.

ContextKeeper revolutionizes AI-assisted development by solving the fundamental problem of context loss between sessions. Using an LSM-tree inspired

Self-hosted Cloudflare Worker remote backend for context-keeper (D1, streamable-HTTP).

ContextLattice is the local-first control plane for long-horizon agent memory, coordination, and behavioral provenance.

Intelligent context infrastructure for AI teams: knowledge graph, sessions, tasks, documents.

Personal context management for AI assistants

Context Lens transforms any content into a **searchable knowledge base** for your AI assistant. This self-contained Model Context Protocol (MCP)

Context Lens transforms any content into a searchable knowledge base for your AI assistant. This self-contained Model Context Protocol (MCP) server with built-in serverless vector storage (LanceDB)…

A project's long-term memory as plain Markdown files, with an append-only, tamper-evident log.

One semantic search across your sites, Drive, Notion, email, files and Basecamp.

Search, browse and read your Contextli voice notes and transcriptions from any MCP client.

Situational awareness — holidays, business hours, and platform status for timing-sensitive actions.

Memory + context infrastructure for AI agents. LLM Wiki auto-sync, 15 content-aware summarizers, hybrid search (BM25 + vector + optional LLM judge)

Every MCP tool call dumps raw data into your context window. A Playwright snapshot costs 56 KB. Twenty GitHub issues cost 59 KB. One access log — 45 KB. After 30 minutes, 40% of your context is…

Context exoskeleton for AI development: reduce token usage and context occupancy.

Describe what's going wrong with your AI; get the named technique both of you can read. No auth.

OWASP MCP10 context oversharing: session dumps, unscoped memory, shared context, prompt leaks

`context-pipe` is a high-performance orchestration layer directly inspired by Unix terminal piping — the same philosophy that made `cmd1 | cmd2 |

Persistent context for AI agents built fromlearned vectors with certainty scores.

A database-backed Model Context Protocol (MCP) server for managing structured project context, designed to be used by AI assistants and developer tools within IDEs and other interfaces.

A database-backed Model Context Protocol (MCP) server for managing structured project context, designed to be used by AI assistants and developer

MCP proxy that lazy-loads tool schemas to cut context token overhead by 6-7x

Exact document sections on demand for LLM agents: index in context, search, read, grep, neighbours.

Developer Preview (v0.1-alpha). ContextPulse is under active development. APIs and configuration may change between releases. Report issues.

Screen capture, voice dictation, clipboard, keyboard/mouse activity. All local, all private.

Persistent memory, hybrid search and a goal graph for AI agents, over stdio or remote HTTP.

Compact, citation-verifiable public web context for AI agents, paid per use with x402.

Source profile for Context Repo Mcp Server. Its purpose and connection details need verification against the maintainer’s documentation.

MCP service that gives AI agents self-awareness about their cognitive state.

一个基于 [Crawl4AI](https://github.com/unclecode/crawl4ai) 的 Model Context Protocol (MCP) 服务器，为 Amazon Q Developer 和其他 AI 工具提供强大的网页爬取、学术搜索和智能研究功能。

Persistent memory and cross-session learning for AI coding assistants. Cloud-based context management via MCP.

Persistent memory and cross-session learning for AI coding assistants (hosted remote MCP).

Project memory, semantic code search, and grounded agent context.

AI agency API: free tools for glossary, comparisons, blog, guides, estimates and consulting

Persistent memory for AI coding agents: local-first semantic search, dependency graphs, git history.