"Accessing Hevy workout tracking app data" matching MCP servers:

MCP server for the Neuralpunk.app Phase 1 slice, enabling AI agents to read approved capabilities, join resident debates, and propose Signals while preserving canon integrity.

Provides semantic search and knowledge base management for the micro-app micro-frontend framework by ingesting its source code and documentation.

Exposes mempalace memory tools over HTTP MCP for agent consumption.

Provides a single-writer MCP server for a governance-grade knowledge base of markdown documents with version control and query capabilities.

Enables Claude Desktop to add, retrieve, update, delete, and list notes persisted in a JSON file whose path is set via MCP_NOTES_FILE or --notes-file, with atomic, lock-protected saves.

Provides AI clients with a governed, searchable catalog of go-to-market context, including ownership, measurement, lineage, runbooks, and bulk-change templates. Optionally integrates with the UTM Builder for governed UTM reference data, preview, and issuance.

Look up countries, timezones, periodic table elements, physical constants, units, HTTP status codes, and MIME types via MCP. STDIO or Streamable HTTP.

Tracks and manages code changes from Git repositories, generates documentation automatically, and provides AI agents with intelligent access to service documentation through MCP server integration with feature mapping and search capabilities.

Indexes local files (PDF, TXT, CSV, Markdown) with embeddings for semantic search. Provides both CLI and MCP server interfaces so Claude Desktop can search and read your local documents.

A sovereign, six-layer permanent memory system that provides users with a structured and persistent personal knowledge base across VS Code, Claude, and ChatGPT. It utilizes a neural mesh architecture and ENGRAM O(1) lookup to ensure data ownership and constant-time memory retrieval.

Local-first personal wiki and memory server for AI agents. MCP clients can capture knowledge, retrieve context, read and maintain source-backed wiki pages, and carry project context between sessions.

Provides AI coding assistants with persistent memory, AST-based project indexing, and tools for live context management and hallucination detection. It enables saving lessons to local files, trimming conversation history, and verifying code symbols to prevent errors.

Enables Claude Code to search, save, and relate local Markdown notes—lessons, do/don't rules, and task history—by project, ticket, epic, tags, or text, keeping everything on the user's own computer.

It functions as an OSINT bridge that allows AI agents to execute complex transforms and analyze entities within a persistent investigation graph. By leveraging its built-in tools and machine chains, it enables a native round-trip exchange of intelligence with Maltego Desktop.

Enables Claude and ChatGPT to share a single study-progress database for interview prep, coursework, and spaced repetition, with per-user data isolation and server-side SM-2 scheduling for due reviews and study plans.

Provides persistent memory capabilities for AI assistants, enabling storage, recall, and analysis of information across conversations with intelligent memory management.

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.

Local MCP server that gives an agent access to branches of your Tinhead tree. It handles account key unwrapping locally and enforces branch grants.

Enables AI assistants to turn conversations into a searchable personal wiki, read and organize pages, and propose edits such as merges, translations, and fact-checks as reviewable changesets.

Connects MCP-compatible AI assistants to query and modify worldbuilding data (entities, relationships, timelines, etc.) with changes going through a review queue.

Enables MCP clients to maintain a persistent Markdown knowledge base by ingesting sources, searching and reading notes, and creating or updating wiki pages with optimistic locking.

A persistent memory layer for AI tools that decouples personal data from AI's unstable memory, enabling you to mention information once and have it remembered forever across all conversations.

Proxies every Playwright MCP browser tool while automatically capturing what an agent learns on each site — fast paths, fixes, dead ends, and the site's observed internal API — and injecting it the next time any agent reaches that domain. Learned lessons and saved procedures become callable tools, so sessions start where previous ones stopped.

Enables Claude to maintain a team knowledge base stored as markdown in a GitHub repository, with tools for search, edit, linking, and interactive views.

A persistent, trust-scored project memory for AI coding agents, backed by PostgreSQL + pgvector, providing durable memory of architecture decisions, bug patterns, and coding conventions.

Enables users to add, get, and list notes, with state persisted to a JSON file in the home directory.

Enables browsing, searching, and expanding a knowledge base of markdown nodes with YAML frontmatter from within a chat, supporting document ingest and generative HTML widgets.

Provides comprehensive CRUD access to Anki flashcard data via MCP, enabling Claude to analyze decks, manage cards, create and update flashcards, organize tags, and perform advanced spaced repetition analysis through 18 data management tools.

MCP server for enabling data extraction and context retrieval for agents, storing information in a knowledge graph using Amazon Neptune or FalkorDB.

Connects AI assistants to Tacit building digital twins to query buildings, equipment, sensors, and zones using natural language. It provides tools for exploring Brick-compliant knowledge graphs, fetching historical sensor data, and accessing site documents.

Context Mode is an MCP server that reduces context window waste by sandboxing data-heavy tools, tracking session state in SQLite, and promoting code-based analysis over raw data reads, achieving up to 98% context savings.

Provides AI-driven project memory management through structured prompts that help Claude parse tasks from specs, review code changes, sync with commit history, and maintain project documentation without directly accessing files.

A simple MCP server for tracking a home bar's inventory and cocktail recipes, with tools to manage shelf items and recipe details.

Enables searching and accessing Readwise highlights and documents through HTTP endpoints using the Model Context Protocol. Provides vector and full-text search capabilities with streaming responses for retrieving reading highlights and notes.

Connects AI coding assistants to persistent, searchable project memory so decisions, architecture notes, debugging context, and task knowledge remain available across sessions and tools.

One local memory shared by Claude Code, Codex and Cursor on your Mac. Tell one app a decision and the others can recall it. Tools: recall, remember, forget, access_status; per-app access levels.

Enables AI clients to read, search, write, tag, backlink, and render Markdown notes stored on a NAS through the local API of the Markdown Reader & Editor desktop app.

Enables AI assistants to read, create, search, update, and delete Apple Notes through natural language conversation, using JXA to communicate directly with the Notes app.

Enables AI agents, including Claude, to interact with the AETERNA persistent world, leaving traces, sharing knowledge, and accessing world state and token economy.

Personal finance MCP server that integrates Plaid bank data with local SQLite memory for conversational budgeting, goal tracking, and transaction management.