deploy-mcp SKILL.md skillA
deploy-mcp from futuresearch/futuresearch-python is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add futuresearch/futuresearch-python/deploy-mcp@git:20261012.b95594aPins git:20261012.b95594a in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- futuresearch/futuresearch-python
- Path
.claude/skills/deploy-mcp/SKILL.md- Versions recorded
- 5
- Latest version
- git:20261012.b95594a, committed Oct 12, 2026
- First version recorded
- Mar 2, 2026
- Size
- 5,428 bytes
- Repository stars
- 57
- License
- MIT
Deploy the FutureSearch MCP server to staging or production on GKE. Use when the user wants to deploy, redeploy, roll back, scale replicas, or check deployment status. Triggers on deploy, redeploy, staging, production, rollout, scale, replicas.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Deploying the MCP Server > **Deploying more than just the MCP server?** Start from the `deploy-to-staging` skill (repo > root `.claude/skills/`) — it routes a change through every layer of the stack in dependency > order. This skill owns only the MCP layer. ## Quick Deploy ### Staging (from main) ```bash gh workflow run "Deploy MCP Server" -f branch=main -f deploy_staging=true ``` ### Production (from main) ```bash gh workflow run "Deploy MCP Server" -f branch=main -f deploy_production=true ``` ### Both environments ```bash gh workflow run "Deploy MCP Server" -f branch=main -f deploy_staging=true -f deploy_production=true ``` ### From a feature branch ```bash gh workflow run "Deploy MCP Server" -f branch=feat/my-branch -f deploy_staging=true ``` ## Monitoring a Deploy ```bash # Watch the workflow run gh run list --workflow="Deploy MCP Server" --limit 3 gh run watch <run-id> # Check pod rollout kubectl rollout status deploy/futuresearch-mcp-staging -n futuresearch-mcp-staging --timeout=5m # Verify pods are running kubectl get pods -n futuresearch-mcp-staging -o wide ``` ## How It Works The GitHub Actions workflow (`.github/workflows/deploy-mcp.yaml`) does: …
Read the whole file at its exact version.
How to install
mdr add futuresearch/futuresearch-python/deploy-mcp@sha256:680530094a0fae3eThe line at the top of this page pins the label git:20261012.b95594a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_mwxfc2s5whay56yo)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Mar 2, 2026 and Oct 12, 2026, about one every 56 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261012.b95594a latest | 2026-10-12 | b95594a | 5,428 B | A | view · diff |
| git:20260624.13ab93f | 2026-06-24 | 13ab93f | 5,436 B | A | view · diff |
| git:20260320.9203733 | 2026-03-20 | 9203733 | 3,790 B | A | view · diff |
| git:20260319.1c36b01 | 2026-03-19 | 1c36b01 | 3,782 B | A | view · diff |
| git:20260302.87fdc04 | 2026-03-02 | 87fdc04 | 3,706 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5428 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
futuresearch/futuresearch-python · 57 stars · license MIT · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_mwxfc2s5whay56yo GET https://markdownregistry.com/api/v1/resolve?ref=futuresearch/futuresearch-python/deploy-mcp GET https://markdownregistry.com/api/v1/blob/680530094a0fae3e8f32bf10d937a8782446a06479d3f1facff8274a558baf00
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.