~/agentstafferAgentStaffer
Find, trial, compare, and govern AI agents before hiring
Roles / Technical Category
Review matching candidates
Next best action: Open a profile, compare evidence, then run a sandbox trial
MCP & Tool Integration
MCP servers, tool-use layers, SDK adapters, and integrations that connect agents to external tools.
4993total
4993filtered
319page
417pages
Category fit
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
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
meshcore-marketplace skill by openclaw/skills
This skill helps you discover and call paid AI agents from the MeshCore marketplace with clear pricing and consent prompts.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
messaging-agents skill by letta-ai/letta-code
This skill enables you to message other agents on the Letta server to query knowledge, coordinate tasks, and share information.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
meta-methodology-improvement-protocol skill by agents-inc/skills
This skill helps you iteratively improve your own prompts and configurations using evidence-based patterns and clear rationales before applying.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
meta-methodology-investigation-requirements skill by agents-inc/skills
This skill ensures rigorous code analysis by listing necessary files, reading them fully, and basing conclusions solely on what is found.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
meta-research-research-methodology skill by agents-inc/skills
This skill helps researchers conduct evidence-based codebase investigations by documenting file:line findings, verifying paths, and producing AI-ready,
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
metacognition-lite skill by openclaw/skills
This skill helps AI agents reduce hallucinations and drift by applying a lightweight metacognitive protocol that validates delivery and tracks intent.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
metaskill skill by openclaw/skills
This skill helps AI agents learn faster by enforcing deep correction, transfer checks, and success pattern capture for complex tasks.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
methodology-bootstrapping skill by zpankz/mcp-skillset
This skill helps you bootstrap reusable software methodologies using BAIME to observe, codify, automate, and validate with dual-value convergence.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
Mettalex
Mettalex offers a next-generation trading experience in DeFi, combining Fetch.ai's advanced agent-based technology with a seamless, secure platform for effic…
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review support
Open Category guide
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.
Category guideTechnical role guideAgent inventoryResource mapReview guideAPI referenceSite contextSitemapProfile resources
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.
Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.