"New York Times" matching MCP servers:

Enables saving project facts as they occur and retrieving only task-relevant entries when starting new work, using Jev evaluation to rank them while preserving all stored context.

Enables MCP-compatible AI agents to connect to SoluCortex projects, recall relevant technical decisions, conventions, risks, and architecture before working, and record new memories afterward.

Local-first MCP server that watches your coding sessions and injects a compact summary at the start of each new session. 85.6% token reduction, SQLite storage, no cloud. Works with Claude Code, Cursor, Cline, and Windsurf.

Enables producing verifiable FORRT nanopublication chains with grounded quote verification and compact Science Live constellation projections, supporting reproduction, replication, and new research workflows.

MCP server for MindNode that lets AI agents read mind maps as Markdown outlines and view rendered previews. It also supports creating new mind maps from outlines and opening maps in the app.

Feynman's twelve-problems method as an MCP server — a persistent set of long-running problems plus an evoke loop that tests each new trick against all of them. Local, TypeScript, no LLM inside, no API key.

Extends large language model context length up to 60 times using gravitational memory, designed for Claude Code and Anthropic AI models.

Enables semantic search over markdown files to find related notes by meaning rather than keywords, and automatically detect duplicate content before creating new notes.

Stores and retrieves completed defect-triage analyses to find similar past defects during new ticket triage. Provides tools for storing, searching, updating, and listing historical defect records with hybrid retrieval (dense + BM25).

Provides persistent tool context that survives across Claude Desktop chat sessions, automatically injecting tool-specific rules, syntax preferences, and best practices. Eliminates the need to re-establish context in each new conversation.

A Stack Overflow for Claude Code agents — a shared pool of solved-problem fixes.An agent hits an error, calls ask_pool for ranked prior fixes; solves something new, calls post_solution. Semantic search + write-time content shield. Free, Apache-2.0.

A Model Context Protocol server that saves prompts with timestamps and allows users to list previously saved prompts for Claude Desktop.

Provides personalized Data Engineering learning updates by fetching recent news about DE concepts, patterns, and technologies, while tracking user knowledge to present only new information relevant to their learning journey.

Enables creation of new mathematical formulas through symbolic derivation, verification, and step-by-step control, leveraging SymPy for computation and storing results with provenance.

Local-first error memory for AI coding agents, enabling them to search past fixes before attempting new repairs and save verified cases as Markdown.

Chat with your Skald knowledge base, add and update new knowledge, and search through memos.

Demonstrates Agent 365's bring-your-own-MCP flow by enabling natural-language search of a Zava IT support knowledge base, retrieval of support ticket statuses, and creation of new support tickets.

Persistent memory for AI coding tools that captures conversations, builds a searchable knowledge graph, and automatically injects relevant context into new prompts.

Skills Board is a free, open-source (MIT) shared library for the AI skills a team recommends, with every skill kept connected to its original source. Agents connect through an authenticated remote MCP server (browser sign-in, no API key to copy) to search team skills and collections, retrieve install commands, and save new skills.

Bridges TiMEM's cloud MCP server with DeepSeek Harness to provide long-term memory tools and automatic memory skills for AI models, enabling persistent context and learned behaviors across conversations.