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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
354page
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
python-fastapi-ai skill by tenlisboa/.claude
Python FastAPI patterns, Alembic migrations, Pydantic v2, and AI Engineering (raw patterns, LangChain, Google ADK). This skill should be used when working with Python APIs, database migrations, or AI/LLM applications.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
python-project-structure skill by wshobson/agents
This skill helps you structure Python projects with clear module boundaries, explicit public APIs, and maintainable layouts to improve discovery and changes.
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
q-memory skill by openclaw/skills
This skill manages memory for OpenClaw agents with state awareness, loop protection, and AI-assisted classification to reduce tokens and improve relevance.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
qa-analyst skill by shaul1991/shaul-agents-plugin
This skill helps QA analysts perform performance and quality metric analysis, load testing, and reporting for API endpoints.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
qa-api-testing-contracts skill by vasilyu1983/ai-agents-public
API testing and contract validation across REST (OpenAPI 3.1), GraphQL (SDL), and gRPC (proto). Use when you need schema linting/validation, breaking-change detection (openapi diff, GraphQL schema diff, buf breaking), consumer/provider contract tests (Pact or schema-driven), negative/security testing, and CI quality gates.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
qa-debugging skill by vasilyu1983/ai-agents-public
Systematic debugging playbook for application errors and incidents: crashes, regressions, intermittent failures, production-only bugs, performance issues, stack traces, log/trace analysis, profiling, and distributed systems root cause analysis.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
qa-docs-coverage skill by vasilyu1983/ai-agents-public
Docs as QA: audit doc coverage and freshness, validate runbooks, and maintain documentation quality gates for APIs, services, events, and operational workflows. Includes AI-assisted audits, observability patterns, and automated coverage tracking.
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
qa-observability skill by vasilyu1983/ai-agents-public
Implement and validate observability for quality engineering: OpenTelemetry logs/metrics/traces, W3C trace context propagation, SLI/SLO + error-budget release gates, burn-rate alerting, trace-based debugging for test failures, sampling/cardinality/cost controls, profiling (CPU/memory/continuous), synthetic/RUM signals, and APM stack integrations (Prometheus...
MCPHTTPCLI
- Fit
- 61 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
qa-tester skill by shaul1991/shaul-agents-plugin
This skill assists in writing, executing, and validating unit, integration, and end-to-end tests using Jest and Supertest.
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.