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Agent-to-agent marketplace middleware — MCP-native discovery, negotiation, and transaction between AI agents
Категория
Код, репозитории, документация и инструменты разработки.
Agent-to-agent marketplace middleware — MCP-native discovery, negotiation, and transaction between AI agents
SWI-Prolog execution for LLMs with CLP(FD), negation-as-failure, and recursion. Benchmarked 90% vs 73% LLM-only accuracy on 30 logic problems
Workspace-aware prompt engineering. Refines, analyzes and generates prompts based on your project's tech stack, dependencies and context. Free to use
MCP server that drafts client proposals in your own voice. Save 2-3 of your winning proposals, paste a new brief, and Claude generates a ready-to-send draft. No API key, no cloud — local storage only. :jabbawocky/proposalcraft
All four Proxmox surfaces — VE, Backup Server, Mail Gateway, Datacenter Manager — plus in-container exec on one audited control plane. Every mutation dry-runs to a PLAN with its blast radius named, snapshots first where the platform can, and lands in a hash-chained tamper-evident audit ledger. 365 tools, read-only by…
AI project intelligence MCP server. Tracks 300+ open-source AI projects across GitHub, PyPI, npm, HuggingFace, Docker Hub, and Hacker News. 47 MCP tools for discovery, comparison, trend analysis, and semantic search across AI repos, HuggingFace models/datasets, and public APIs
Interactive PTY sessions for AI agents — local shells, SSH with persistent sessions (ai-tmux daemon for attach/detach), and serial ports. Single Go binary, no tmux dependency
Run Python code in a secure sandbox via MCP tool calls
OpenStack MCP server for cloud infrastructure management based on openstacksdk
MCP server implementation for PythonAnywhere cloud platform
Keyless local MCP server bringing ISTQB / OWASP / IEEE / ISO / EU AI Act QA standards into your AI client: standards-grounded retrieval, deterministic QA effort estimation, and automated QA document quality review (0-100 rubric) plus JUnit/CSV test-results flakiness analysis
Integration with QA Sphere test management system, enabling LLMs to discover, summarize, and interact with test cases directly from AI-powered IDEs
connects QGIS Desktop to Claude AI through the MCP. This integration enables prompt-assisted project creation, layer loading, code execution, and more
Dynamic QR code service for AI agents. Create, update, track, and retarget QR codes without regenerating images. 37 tools covering 11 QR types, one-command install via
Strategic task prioritization and agent orchestration for multi-project operators. 22 MCP tools with 5-factor scoring engine, advisory document analysis, agent dispatch with autonomy levels, HMAC webhooks, time-aware planning, and CI/CD integration. Standalone CLI + MCP server
MCP server for quelllm.fr — open-weights LLM catalog (250+ models with params, VRAM by quantization, tokens/sec, license). Tools: list_models , get_model , compare , estimate_vram , estimate_cost (API providers vs self-hosted hardware in EUR), search_models . Useful when picking a local model that fits your GPU/Mac
Line-level authorship for a shared Git checkout, so multiple AI coding agents work in one repo and each commits only its own lines. Symbol-level claims prevent collisions and every commit is an ordinary Git commit
Email operating system for agents: a search tool to find the one message by sender/subject/content (no filesystem grep), two-axis triage (importance × urgency), an explainable "Right Now" lane, commitment follow-through, and reviewable drafts. A machine-verifiable hard-stop keeps money/banking-change/first-contact…
Local repo-intelligence index and MCP server for coding agents — "what a repository knows about itself." Hybrid BM25 + vector semantic search, a tree-sitter code graph (callers/callees/imports across Rust, TS/TSX, Kotlin, C/C++, Python) with an optional compiler-grade SCIP oracle, queryable git/GitHub history, and…
The best way to deploy cloud infrastructure using Claude Code and MCP
Analyze React code locally, generate docs / llm.txt for whole project at once
Record an agent's tool-call workflow once, replay it deterministically at 0 tokens, and diff runs to catch drift — CI + snapshot tests for MCP tool-call workflows. serve
Governance proxy for MCP: pair once and route your MCP servers through policy gates (allow / deny / human-in-the-loop approval), DLP redaction before the model, and cost caps, with every tool call recorded to a hash-chained audit log exportable as an Ed25519-signed, offline-verifiable evidence pack. Single-file binary…
Persistent memory for AI agents with sectioned entries (project/user/context/etc), semantic search, CLI, and per-project scope. Local JSON, zero config, no server required
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