Self-hosted work log your team's AI agents write: daily updates drafted from git and the session, tasks, time measured from agent sessions, project context and client access. 39 tools over Streamable HTTP, with personal keys for coding agents and OAuth for the Claude and ChatGPT apps.

Exposes a single tool, generar_cierre(usuario), that reads the last three days of a public GitHub user's activity and returns a roughly forty-word end-of-day script covering what was closed, what is still open, and where to start tomorrow, including why the oldest open PR is stuck. Callable from Cursor, OpenCode, Claude Code or any MCP client, unlocked with a one-time x402 license token passed as an x-license header.

Enables travelers and agents to route destination crowds in real time by dispersing visitors and reducing queue waits with queuing-theory and dynamic heatmap guidance.

Enables agents to optimize real-time attraction visitor dispersion and queueing wait times using queuing-theory models and dynamic heatmap routing.

Enables evaluation of passport nationality, transit visa waiver (TWOV) eligibility, and rolling stay-duration rules for multi-hop international journeys through MCP tools.

Enables automated validation of corporate travel policies, hotel rate-parity audits, and carbon ESG compliance checks through MCP tools.

Enables agents to validate enterprise travel policies, audit hotel rate parity, and check carbon ESG compliance through a zero-dependency MCP server. It exposes policy and expense-auditing tools over STDIO JSON-RPC for use in Claude Desktop, Cursor, or other MCP runtimes.

Enables agents to forecast airline dynamic ticket fare fluctuations and generate optimal Buy-Now versus Wait-and-Freeze recommendations via MCP.

Enables agents to forecast dynamic airline ticket fare volatility and produce optimal buy-now versus wait-and-freeze recommendations through a zero-dependency MCP STDIO interface.

Enables agents to generate optimized multi-day travel schedules and decision payloads via MCP, applying TSP graph heuristics with fatigue decay and opening-hour constraints.

Enables agents to plan multi-day travel schedules by solving itinerary graphs with TSP heuristics, fatigue decay, and opening-hour constraints, exposed over MCP STDIO JSON-RPC for agent runtime integration.

Enables models to query a user's Genshin Impact Battle Chronicle through read-only MCP tools, covering account statistics, characters, artifacts, Spiral Abyss, Imaginarium Theater, and exploration progress. It uses per-user encrypted HoYoLAB cookies and works with Open WebUI, Claude Code, Codex, and opencode.

Open-source Claude Code plugin porting the internal /skillify skill: turn a finished session's repeatable workflow into a reusable SKILL.md you can rerun with a slash command.

Enables MCP clients to drive the 4NEC2 NEC-2 engine for natural-language antenna modeling and simulation, including building Yagi models, calculating impedance/SWR/gain/front-to-back ratio, sweeping frequency, parsing .out files, optimizing geometry, and generating pattern/sweep plots.

Enables LLM clients to inspect live game state and perform deterministic shop, inventory, backpack layout, and combat actions in a running game through a local bridge.

Enables an AI agent to sign, verify, encrypt, decrypt, and manage OpenPGP keys while private key material stays in gpg-agent and passphrases go only to pinentry. Adds human approval for high-risk operations, typed-fingerprint confirmation for destructive ones, and audit logging that never records plaintext.

Enables AI assistants to search, randomly roam, and inspect over 65,000 ArchDaily architectural works, including downloading and reading high-resolution images; it also supports notes, two-way sharing with a front-end canvas, and favorites/tag management.

Enables local voice cloning and multi-take text-to-speech synthesis on Apple Silicon, plus audio/video transcription and subtitle generation, through Claude and other MCP clients.

A self-hosted MCP memory server that gives every MCP-compatible agent a shared, persistent memory layer, so preferences, project conventions, and past decisions carry across sessions and across different agents and vendors. It combines hybrid keyword-plus-vector retrieval with automatic context injection, zero-config sync, and selective injection of memories by agent and priority.

Enables an AI to place zero-cost SIP voice calls to a user's iPhone and hold multi-turn spoken conversations, with speech-to-text, text-to-speech, and barge-in interruption, exposed as MCP tools such as call_start, converse, and call_end.

Enables a Codex/GPT conversation to request independent second opinions from DeepSeek through a local stdio MCP tool and receive provider-reported model metadata for response or synthesis.

Enables AI agents and assistants to inspect live system telemetry, check TCP port connectivity, audit environment variables for leaked secrets, analyze and summarize log files, and list Docker containers — all with token-efficient, compressed output.

Enables AI coding agents to retrieve compact structural codebase context through repository architecture summaries, AST symbol extraction, cyclomatic complexity scoring, and TODO/FIXME hotspot search.

Enables AI agents and LLMs to persist facts, preferences, and observations in a local SQLite store and to build and traverse subject-predicate-object knowledge graphs across sessions. It provides fuzzy keyword search and graph queries so assistants retain context and recall prior project history without repeating prompts.