Enables MCP clients to search, classify, cite, and read EndNote X9 libraries locally, with PDF text extraction and narrowly scoped, backup-first field updates.

Enables MCP-compatible agents to calculate Davis-Bacon/CWHSSA overtime, run 26 deterministic WH-347 compliance audits with penalty exposure, and compile pixel-aligned official DOL WH-347 PDF packets.

Enables exhaustive, unit-by-unit analysis of open-source repositories through MCP, cataloging every file and symbol, resolving dynamically built routes and URL paths, and mapping call and value flows via LSP and Joern. Every conclusion carries file:line evidence tied to a pinned commit, with unresolved items tracked in an unverified list and assigned verification grades L0–L2.

Enables any MCP-compatible client to persist long-term memories for AI agents, with LLM-based fact extraction, semantic vector search, update/delete/list operations, and queue status checks across sessions.

Starts a local stdio MCP gateway that exposes read-only Minecraft Java status and performance diagnostics, safe bounded Spanish gather-request proposals, and non-mutating investigation planning to compatible AI clients.

Enables agents to observe a desktop and perform mouse and keyboard actions through ESP32-based BLE or USB HID hardware, with local action translation and no second model in the MCP path.

Enables on-demand discovery and loading of locally registered skills through read-only MCP tools, respecting explicit-invocation policies and returning skill instructions with paths to scripts, templates, and references.

Self-hosted daemon connecting Claude Code, Codex, and other coding agents across machines via MCP + A2A: delegate tasks, ask questions, share results, and wake sessions.

Enables AI agents to query a Python codebase as a knowledge graph over MCP, exposing symbol search plus callers, callees, and module dependency tools.

Enables MCP clients to generate images, videos, and Seedance clips through the PowerTokens official REST API, including model and pricing discovery, cost estimation, asset uploads for first/last-frame references, and automatic polling and downloading of results.

Exposes tools that let an agent read a CV, search the Arbeitnow job board for Berlin AI/ML working student roles, score each vacancy against the CV, draft cover letters whose every claim cites CV facts, and queue them for human approval. The same tools can be driven from other MCP clients such as Claude Desktop, with scoring done deterministically in code and limits enforced outside the prompt.

Control Android TV from any AI. 38 MCP tools: playback, recap, recommend, smart-home, schedules.

Enables AI assistants to browse, search, read, and save personal Markdown knowledge through HTTP MCP tools, with category and status filtering, revision-safe updates, and rebuildable full-text search.

Enables AI coding assistants to inspect ELF, PE, and Mach-O binaries for hardening mitigations and high-risk symbols, and to triage source or decompiled code against MITRE CWE patterns through MCP tools.

Enables authorized AI clients to search locally stored WeChat conversations, media, and attachments, retrieve original-message context, and cite evidence through a local stdio MCP interface.

This MCP server enables users to analyze personal reading and media streams by computing Shannon entropy, detecting Jaccard redundancy and echo chambers, and ranking content sources by decibel SNR to produce pruning recommendations and high-signal curation.

Enables agents to call deterministic microservice operations through a native FastMCP JSON-RPC interface, including URL prefix routing, HMAC-SHA256 JWT claims authentication, and P99 latency SLA auditing.

Enables agents to run deterministic protocol and schema synthesis through an MCP STDIO server, including Robinson-type unification, schema lens generation, and graph edit distance scoring.

Provides an MCP server for deterministic game-theoretic optimization, enabling regret-matching equilibrium computation and payoff-matrix analysis with IESDS dominance pruning via JSON tool results.

Enables MCP clients to perform speculative tree-search action prediction and prefetching using Laplace-smoothed Markov transitions, returning deterministic JSON tool results.

Enables agents to estimate latent user intent, maintain belief states, and resolve ambiguous requests using entropy-based thresholding through MCP tools.

Enables local synchronization of Garmin activity and health data using a personal API key, then lets MCP-connected AI clients analyze training readiness and recovery with cited models and research. Supports viewing records, sleep/HRV, stress, Body Battery, and generating pre-run recommendations without hosting accounts or personal data.

Local MCP server that gives coding agents a verifiable project memory, trims what enters their context, and masks secrets — with honest accounting of what it saves and costs.

Exposes three read-only tools that list local Agent and MCP runtime candidates, inspect running processes, and check a live runtime against an approved artifact expectation. Returns explicit verdicts such as matched, stale, leaked, conflict, unknown, or not running without exposing argv, environment values, or file contents.