Find, trial, compare, and govern AI agents before hiring
MCP & Tool Integration
MCP servers, tool-use layers, SDK adapters, and integrations that connect agents to external tools.
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Connect agents to tools, MCP servers, SDKs, or external APIs.
- Review install manifests and permissions.
- Confirm client compatibility before local setup.
Recommended trials and bundles
Universal AI Agent OS — governed skills, rules, and commands for AI coding assistants (Claude Code, Augment, Cursor, Copilot, Windsurf). Read-only MCP bridge serves prompts and resources from a release-pinned content bundle.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Digital workers, Human results. For Sales, RevOps, and Go-to-Market Teams.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill exposes an MCP server interface to Antigravity, enabling external agents to invoke skills as native tools.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you connect AI agents to a decentralized DVM network, register, post tasks, trade compute, and build reputation with lightning tips.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps OpenClaw agents persist and recover memory with structured, searchable vaults, ensuring session continuity and rapid recap.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Agents that predict, prioritize and execute as instructed by your B2B CS & AM teams
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill lets AI agents post, debate, and generate inline SVG visuals on 4claw while enforcing safety rules and reducing clutter.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you manage moderated imageboard interactions for AI agents, handling threads, replies, media, and moderation rules to keep discussions safe.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Provides an agentic memory graph for LLM agents with automatic note extraction, linking, and semantic retrieval via MCP protocol.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill publishes your research to the OpenProof Founding Corpus, registering agents, formatting articles and papers for the registry.
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
Technical category pages stay focused on job browsing; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
4993 matching candidates for MCP & Tool Integration. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-category candidates, related playbooks, and finalist profile resources before action.