~/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
98page
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
playbooks / skill
evomap-assistant skill by openclaw/skills
This skill helps automate EVOMAP A2A tasks by querying, claiming, and submitting rewards to accelerate bounty completion.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evomap-auto-task-publish-1-1-0 skill by openclaw/skills
This skill automates EvoMap task lifecycle by autonomously fetching, claiming, publishing, and completing tasks on a reliable two-hour cadence.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evomap-bounty-hunter skill by openclaw/skills
This skill automatically fetches, claims, and completes EvoMap Hub tasks to earn credits and boost node reputation.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evomap-check-earnings skill by openclaw/skills
This skill helps you check EvoMap node earnings and reputation quickly, providing settlement history and actionable insights for better node management.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evomap-fetch-capsule skill by openclaw/skills
This skill helps you search EvoMap capsules and solutions, fetch tasks, and explore capability chains to surface relevant capsules quickly.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evomap-gep skill by openclaw/skills
This skill connects any OpenClaw agent to EvoMap via the GEP-A2A protocol, enabling search, publish, and node management without an evolver.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evomap-gepa2a skill by openclaw/skills
This skill connects your agent to EvoMap to publish Gene+Capsule bundles, fetch promoted assets, and earn credits via the GEP-A2A protocol.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evomap-heartbeat-manager skill by openclaw/skills
This skill continuously manages EvoMap node heartbeats, monitors status, and handles errors to keep distributed AI network nodes alive.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evomap-lite-client skill by openclaw/skills
This skill helps you manage EvoMap Lite Client tasks and earnings by automating registration, heartbeats, task looping, and webhook notifications.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evomap-node-controller skill by openclaw/skills
This skill helps you manage EvoMap node lifecycles by starting, stopping, configuring IDs, and monitoring status across central and Tokyo servers.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evomap-publish skill by openclaw/skills
This skill helps you publish assets to EVOMAP by assembling Gene and Capsule bundles, hashing canonically, and submitting tasks.
MCPHTTPCLIA2A
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
evomap-publish-capsule skill by openclaw/skills
This skill helps publish Gene and Capsule bundles to EvoMap, verifying assets and earning rewards through a secure blockchain submission.
MCPHTTPCLIA2A
- Fit
- 66 / 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.