Agentic SDLC governance and security controls for AI coding agents working with GitHub.
Agentic SDLC governance and security controls for AI coding agents working with GitHub.
Governance and evidence controls for AI coding agents working in real GitHub repositories.
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| repo_context | An agent needs repository facts before planning |
| plan_from_context | A goal needs an SDLC plan and issue drafts |
| prepare_work_item | An agent is about to implement a GitHub Issue |
| create_issue_set | A reviewed plan should become GitHub Issues |
| create_pr_summary | A pull request needs a reviewable overview |
| quality_gate_status | A team needs real merge-gate evidence |
| review_pr_against_standard | A pull request needs SDLC and security review |
| branch_protection_status | A team needs branch and ruleset visibility |
| workflow_permissions_audit | GitHub Actions token permissions need review |
| security_triage | Release or incident work needs GitHub security alerts |
| release_readiness_check | A human is deciding whether to publish |
| agent_handoff_packet | Another agent must continue the work |
| sdlc_evidence_packet | A workflow decision needs a portable evidence snapshot |
{
"mcpServers": {
"agentic-sdlc": {
"command": "npx",
"args": [
"-y",
"agentic-sdlc-mcp"
],
"env": {
"GITHUB_TOKEN": "YOUR_GITHUB_TOKEN",
"GITHUB_OWNER": "your_organization",
"GITHUB_REPO": "your_repository"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| GITHUB_TOKEN | Declared in the maintainer’s client configuration. | Optional |
| GITHUB_OWNER | Declared in the maintainer’s client configuration. | Optional |
| GITHUB_REPO | Declared in the maintainer’s client configuration. | Optional |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
MCP server wrapping the Tesla Fleet API and TeslaMate API
NIH RePORTER MCP — every NIH-funded research project (free, no auth)
AI agents' first sovereign vault: yield compounds, Crash Shield self-defends, JIT pays x402.
Japanese e-commerce search MCP for AI agents. Search Mercari, Yahoo Auctions, Suruga-ya.