"Fossil SCM" matching MCP servers:

Provides AI agents with persistent state, version control, and task management capabilities powered by Fossil SCM. It enables agents to manage files in a sandboxed environment with full commit history and built-in ticket tracking.

Plan SEO pages in an SEO Content Machine Workspace, then have its page agents research, write and review each page as a draft. A stdio bridge to the SCM desktop app, which must be running on the same machine.

Enables agents to resolve dependencies and analyze directed graphs through topological sorting, strongly connected components, shortest paths, maximum flow, minimum spanning trees, and centrality ranking via MCP.

Enables LLMs to ingest and analyze legal agreements, compute risk scores, and monitor non-compliant clauses through MCP tools like ingest, fetch_contracts, and run_analysis.

Enables secure access to customer e-commerce data (orders, loyalty points, offers, preferences) through the Shopper Context Protocol with OAuth 2.0 authentication. Supports discovering and connecting to SCP-enabled merchants for personalized shopping assistance.

Enables AI assistants such as Trae or Claude to control StarCraft 1.16.1 matches through BWAPI, providing tools to read game state, train units, build, move, attack, gather, and chat.

Enables AI agents to safely interact with golf course operations by providing real-time inventory, booking rules, pricing policies, and a self-learning memory system.

Enables multiple AI agents to each drive one wheeled robot inside a single shared warehouse physics world, with a coordinator assigning crates and stepping the lockstep simulation while robot connections submit motion commands through six to seven exposed tools. Supports deterministic replay, hash-chain verification, and offline headless rendering of first-person, chase, overhead, and combined camera views from the recorded run.

Enables MCP clients to run zero-dependency graph algorithms—including topological sorting, strongly connected component detection, shortest paths, maximum flow, minimum spanning trees, and PageRank—for agent dependency resolution and execution planning.

Persistent decision memory and contradiction detection for AI coding agents. Enforces architectural consistency across sessions — the agent cannot code until it loads prior decisions. Human resolves conflicts on a dashboard or in chat.

Enables AI hosts to preserve and resume task and project state across conversations, process restarts, and worker or model replacement by storing structured records, snapshots, receipts, and bounded context views through a local stdio interface.

MCP server that integrates Blender with CSM.ai 3D assets and LLM agents, enabling AI-assisted 3D modeling and animation through natural language commands.

Enables MCP clients to convert natural-language simulation requests into sandboxed Monte Carlo code, run it safely, and automatically repair failed attempts using error feedback.

Enables peer-to-peer communication, discovery, shared state, and file coordination between AI coding agents across machines and sessions.

Enables MCP-capable agents to observe and control an AI town simulation with 25 tools for spawning citizens, assigning jobs, moving people, setting policies, building structures, and triggering events.

A Node.js package providing Model Context Protocol server infrastructure for AWS Lambda functions with streaming response capabilities through Server-Sent Events.

Intelligent AI memory management system with ML auto-triggers that automatically saves and retrieves information across AI platforms without manual intervention.

Open, secure runtime that puts Revit, Rhino, Navisworks, and Power BI behind one MCP call center, enabling an AI agent to orchestrate them directly instead of manually dumping data between disconnected apps.

A stateful MCP workflow engine that enforces strict step ordering for AI agents, persisting run state so interrupted workflows can be resumed from a checkpoint. It also supports parallel step groups, bounded retries, agent-chosen jumps between steps, rewinding, and a live browser dashboard across any MCP client.

Provides a coherent memory layer for LLM agents that models beliefs as nodes in a constraint network to detect and surface semantic contradictions. It uses local embeddings and a hybrid geometric-logical energy model to identify conflicting information that requires review.

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.

Security middleware for LLM agents. Authorize tool calls, scan for injection, quarantine poisoned memory, and redact PII — all through MCP. 0% injection success rate on 1,054 tested attacks.

Enables natural-language control of CST Studio Suite for electromagnetic simulation, covering modeling, materials, ports, solvers, result reading, and VBA scripting, with an embedded knowledge base and constraint hooks that self-evolve through use.

Enables CAE simulation agents to manage tasks and runs through 12 restricted MCP tools, governed by a five-dimension state machine with human-only approval gates, evidence hashing, and executor/reviewer monitoring panels.

MCP server for AI agents to execute the complete NevioServiceCenter flight booking flow. It provides 10 tools for flight search, cart management, passenger details, seat selection, ancillaries, and booking confirmation with automatic JWT token management.

An autonomous video director that generates promotional videos for software projects. It uses Remotion to script, direct, and configure marketing videos based on simple inputs.

A simple MCP server that provides integer addition functionality. Enables users to perform basic arithmetic operations by adding two integers together through natural language interactions.