Tag: mcp
DaVinci Resolve MCP Server
This MCP server enables AI assistants to interface with DaVinci Resolve Studio via its official Scripting API. It facilitates automated control over projects, timelines, and colour grading, while providing capabilities for authoring Fuse, D…
Octocode Agent Skill Discovery and Management
This skill enables the discovery, evaluation, and management of Agent Skills defined by the SKILL.md format across GitHub, local repositories, and various marketplaces. It facilitates inspecting, installing, refactoring, and synthesising sk…
Octocode Pull Request Reviewer
An expert code reviewer that performs architectural analysis, defect detection, and security scanning on remote pull requests and local changes. It utilises Octocode MCP tools for deep code forensics and holistic evaluation of code quality …
Dynamic Design System Generator
An agentic skill that generates a project-aware DESIGN.md by analysing codebase structures via Octocode MCP local tools. It establishes a comprehensive UI architecture including design tokens, component patterns, and accessibility standards…
Neotoma Chat History Storage Workflow
A workflow for previewing and persisting chat transcripts, including dual-role agent messages, attachments, and extracted metadata, into the Neotoma data store.
Structured Error Reporting for Agent Resolution
This skill enables agents to systematically detect, classify, and report various types of errors—such as build, runtime, or test failures—to designated target repositories. It supports cross-repository reporting and auto-detection, ensuring…
Neotoma Graph Health Audit Skill
Performs a comprehensive read-only audit of a Neotoma database to identify graph-health issues such as duplicate entities, schema drift, and relationship inconsistencies. It provides structured remediation hints for use with existing Neotom…
Sync Environment Variables from 1Password
Automatically synchronises local .env files with 1Password secrets using predefined mappings stored in Parquet format. It supports both 1Password MCP and CLI, ensuring secure updates with automatic backups and environment-specific key handl…
Automated Error Reporting for Agentic Workflows
Enables agents to systematically report, classify, and document errors for automated resolution. It supports cross-repository reporting by auto-detecting target repositories through MCP server context or file path analysis.
Open WebSearch MCP Server Maintenance
Facilitates the maintenance and extension of the open-websearch MCP server by providing protocols for engine integration, network configuration, and tool schema updates.
Deep Research MCP Server
An MCP server and Python API for executing deep research tasks using backends such as OpenAI, Gemini, and DR-Tulu. It supports agentic workflows featuring clarification loops, status polling, and multi-provider integration.
Shared Memory Debugging and Knowledge Management Tool
This tool integrates a shared memory layer, allowing agents to consult historical debugging data before fixing issues and upload verified lessons afterwards. It facilitates structured knowledge capture of root causes, fixes, and environment…
Inter-Agent Message Queue for AI Communication
This tool facilitates structured, cross-session communication between multiple AI agents via a message queue interface. Agents can send, receive, and manage messages using name-based routing, requiring periodic polling for message retrieval…
Idea Reality Check for Market Research
Scans GitHub, Hacker News, npm, PyPI, and Product Hunt to identify existing competitors for new project ideas. It provides a competition score and actionable pivot suggestions based on market saturation.
MCP Server Builder and Deployment Tool
This utility facilitates the construction and deployment of Model Context Protocol (MCP) servers. It provides the necessary framework for integrating complex, context-aware agentic capabilities.
Persistent Agent Memory via MCP
Provides agents with persistent memory across sessions by allowing them to recall past feedback and follow auto-generated prevention rules. The system uses an MCP server to capture task outcomes and track performance trends locally.
Contextual Recall for Coding Tasks
Retrieve historical context, including prevention rules, past failures, and context packs, to avoid repeating errors during coding tasks.
Capturing User Feedback into Structured Memories
Captures explicit user feedback into structured memories and prevention rules to optimise agentic performance. It processes quality signals like thumbs up or down to record repeatable patterns and failure prevention actions.
Manage and review automated prevention rules
This tool manages prevention rules, which are automatically generated from recurring failure patterns observed during execution. Developers can list active rules, check if a specific action is blocked, or review the history of rule promotio…
Structured feedback capture for agentic workflows
This tool allows developers to record structured feedback, including thumbs up/down signals, context, and rubric scores, following task completion or failures. It is designed to distill lessons from chat history and failed tool calls, feedi…
DualSPHysics Particle Post-Processing Workflow
This skill automates the post-processing of DualSPHysics particle data by mapping domain-specific vocabulary to MCP tool calls. It enables automated fluid filtering, isosurface mesh extraction, and time-series animations for SPH simulations…
FEA Post-Processing Workflow Skill
Automates finite element analysis post-processing by mapping structural engineering terminology to specific MCP tool calls for stress, deformation, and mode shape visualisation.
Agent Safety Gates for AI Coding Agents
ThumbGate implements pre-action gates for AI agents, capturing structured feedback (thumbs up/down) to identify failure patterns. It automatically generates prevention rules and blocks known-bad tool calls via the MCP PreToolUse hook, signi…
CAE Simulation Post-Processing Translator
Translates natural language requests from CFD, FEA, and SPH domain experts into precise MCP tool calls for simulation post-processing. It provides domain-specific vocabulary mapping, data-driven visualisation suggestions, and aesthetic guid…