~/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
283page
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
germanic skill by openclaw/skills
This skill validates JSON against schemas and compiles to binary .grm, ensuring strict data contracts for AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
getlighty-clawvault skill by openclaw/skills
This skill provides automatic, encrypted cross-device knowledge and environment sync for AI agents, keeping memory, profiles, and packages up-to-date.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
gh-cli-agentic skill by laurigates/claude-plugins
This skill provides AI-friendly gh cli commands with JSON output and deterministic patterns to streamline code review, PR management, and workflow monitoring.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ghost-browser skill by openclaw/skills
This skill automates web tasks with a nodriver-powered ghost browser, optimizing token use and delivering markdown outputs for AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
ghostfetch skill by openclaw/skills
This skill enables AI agents to search the web and fetch pages as markdown, extracting links with a single, browser-free binary.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
mcpservers / tool
Git TS MCP Server
Execute Git commands safely through AI assistants like Claude. Browse Git TS MCP Server for Claude, Cursor, VS Code, and other AI agents.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
git-commits skill by daleseo/git-skills
Best practices for creating high-quality Git commits. Covers commit message conventions (Conventional Commits), atomic commits, staging strategies, and when to amend vs create new commits. Helps AI agents generate clean, meaningful commit history.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
git-leak-recovery skill by letta-ai/skills
This skill guides recovering or cleaning secrets from git history and verifies complete removal to prevent future exposure.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
git-master skill by sebastiaanwouters/dotagents
Git expert for atomic commits, rebase/squash, and history search (blame, bisect, log -S). Triggers on: commit, rebase, squash, who wrote, when was X added, find the commit that.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
git-workflow-skills skill by kimasplund/claude_cognitive_reasoning
Provides standardized Git workflows, commit message conventions, branching strategies, and collaboration patterns for all agents performing Git operations. Use when creating commits, choosing branching strategies, creating PRs, performing git operations (merge vs rebase), or handling git collaboration workflows.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
gitclassic skill by openclaw/skills
This skill enables fast, read-only browsing of public GitHub repositories via a server-rendered interface, optimized for AI agents.
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.