"Conda-Forge" matching MCP servers:

The Forge Engine runtime: a thin, MIT-licensed proxy that connects any MCP client to Forge — the design spec AI coding agents read before building and report back to. Serves the full 54-tool surface; discovery works signed out, tool calls authenticate.

a claude code harness engineering tool

Enables Claude to run structured software development pipelines by directing it through sequential phases, validating evidence before advancing, and persisting state in SQLite for resumption across sessions.

The MCP server for AlphaForge — the agent-native quant CLI: write strategies in JSON, optimize with Optuna TPE, validate with walk-forward, export to TradingView Pine v6. This server lets your AI agent drive the whole pipeline over MCP.

An MCP server that exposes the Agent Skill creation guide (9 phases) as MCP resources, enabling AI agents to build SKILL.md files on demand.

Enables running multiple AI CLI tools (Claude, Codex, Gemini, Forge, OpenCode) as background processes with automatic permission handling, allowing LLMs to execute async multitasking and combine different AI models.

Enables users to transform natural-language requirements into KiCad electronic projects, with tools to create workspaces, generate designs, validate them, and export manufacturing files when checks pass.

An MCP server for the TianGong platform, enabling users to forge, share, and cultivate AI Agents as artifacts, with commands for cultivation start, achievement cards, and skill management.

Enables AI agents to investigate and repair Python/pytest repositories in isolated Git worktrees with audit trails, without modifying the original repository.

Enables AI agents and humans to collaborate on tasks via MCP and HTTP, including claiming, updating, commenting, attaching artifacts, managing dependencies, and handling human approvals with shared permissions, leases, versioning, idempotency, and event subscriptions.

Enables MCP-capable agents to author, compile, run, and commit generative music E-- Recipes from a library catalog, completing the full authoring loop.

We built a hosted MCP server that gives AI agents two capabilities through a single connection: 1. img-forge — Image generation across 5 quality tiers (SDXL Lightning to Gemini 3.1 Flash). One tool call, 5-30 seconds, done. 2. Stackbilder — Full-stack architecture scaffolding. Describe a product, get a 6-mode pipeline (Product → UX → Risk → Architect → TDD → Sprint)

A powerful MCP tool for forging and managing AI agent personalities with customizable expert traits and behaviors.

Enables autonomous agents to perform CAD geometry calculations and retrieve Autodesk API knowledge via MCP, combining a native C++ geometry engine with RAG grounded on Fusion 360, APS/Forge, Revit, and Inventor.

A local MCP server that enables AI agents to create and edit parametric CAD models through natural language, using a validated operation graph that compiles to real geometry.

Provides MCP tools for AI-powered code review, research, and book writing via a fleet of coding agents.

Enables orchestrating multiple AI coding tools (Claude Code, Codex CLI, Gemini CLI) on shared repositories with file locking, knowledge capture, task planning, and drift detection via an MCP server.

Enables agents to carry portable reputation across platforms, with tools for registering agent identities, vouching, verifying trust, and managing memory.

Enables end-to-end research paper workflows from ideation to delivery, including paper reproduction, guided writing, export to LaTeX/PDF/DOCX, and scientific data queries across 41 public database connectors, all operable locally without API keys.

Enables MCP-compatible clients such as Claude Desktop, Cursor, and Antigravity to invoke deterministic mathematical modeling and System 2 agent capabilities through a native STDIO JSON-RPC 2.0 server with zero external dependencies.

Local MCP server that lets AI agents control a Minecraft Forge 1.20.1 NPC to chat, move, gather, craft, build, fight, and manage inventory in a single-player world.

Enables AI agents to fork plans into counterfactual worlds, score them with rubrics and simulations, detect contradictions, measure regret, and merge a winner with a full audit trail.

Enables AI agents to execute prediction-market trades through a risk-control gateway that enforces signed mandates and generates proof trails for accountability.

TACIT (Tracked Agent Capabilities In Types) is a safety harness for AI agents. Instead of calling tools directly, agents write code in Scala 3 with capture checking: a type system that statically tracks capabilities and enforces that agent code cannot forge access rights, cannot perform effects beyond its budget, and cannot leak information from pure sub-computations. It provides an MCP interface,

Enables real-time robotic manipulation safety through shear-to-normal ratio tracking, micro-vibration onset detection, and dynamic grasp force adaptation over MCP.

Cross-OEM industrial machine intelligence. Normalizes telemetry across 16 manufacturer families (Fanuc, Siemens, Haas, DMG Mori, Mazak), enables plain-English operational automation, and produces tamper-evident work records. 14 MCP tools.

An MCP server that enables AI agents to automatically discover, install, and learn to use new tools without manual configuration.

Exposes a zero-dependency MCP server that ingests depth-sensor, joint-encoder, and tactile-array telemetry to deliver real-time spatial intelligence, trajectory generation, and safety-guarded control vectors for autonomous robots. It tracks shear-to-normal force ratios, detects micro-vibration slip onset, and adapts grasp force dynamically so agents can prevent object slip during manipulation.