Skip to main content
Glama
146,584 tools. Last updated 2026-05-27 08:39

"How to install MCP (Minecraft Coder Pack)" matching MCP tools:

  • Installs a published store template onto one of the authenticated user's displays. The server materializes the template HTML, auto-creates any required data slots (reusing existing slots from a prior install when possible) and publishes the result so the Türschild updates within seconds. Optional data_slot_overrides bake per-slot JSON directly into the install so a 'show my daily menu' flow does not need a second set_data_slot call. Requires authentication with at least content_only scope, control access to the target display, and (for API-key callers) the display.send capability. Errors: 'template_not_found', 'display_not_found', 'access_denied', 'slot_install_failed', 'storage_quota_exceeded', 'invalid_slot_override', 'publish_failed'. Always call get_store_template_install_options first to know which slots the template needs.
    Connector
  • Scan a public GitHub MCP-server repository for security issues. Clones the repo (shallow, <60s, <200 MB), runs compuute-scan v0.6.2 in static analysis mode (no code execution from the target), and returns a structured report with severity counts, a 0-100 score, and the 10 most severe findings. WHEN TO USE: - Before connecting to an unknown MCP server discovered via Anthropic Registry, Smithery, mcp.so, or a Discord recommendation. - Before installing a third-party MCP-server package into a production pipeline. - As part of an agent's pre-commit / pre-deploy due-diligence step when adding new dependencies. - As one input to a multi-source trust evaluation (combine with publisher reputation, package install count, last-update recency). WHEN NOT TO USE: - For private repos. Use the on-prem CLI instead: `npx compuute-scan ./path-to-private-repo` - For deep exploitability assessment of a specific code path. This is pattern matching, not dataflow analysis. Book a manual L2-L4 audit at https://compuute.se/audit for that depth. - For non-GitHub hosts (GitLab, Bitbucket, self-hosted). v1 supports github.com only. - For repos > 200 MB or clone time > 60s. The endpoint returns a 413 or 504 in those cases — fall back to local CLI. EXPECTED RESPONSE TIME: - Median: ~1-2 seconds for small repos (<100 files). - p99: ~10 seconds for medium repos. - Hard timeout at clone=60s, scan=120s combined. EXPECTED COST: - Free tier in MVP. Future Pro tier may charge per-scan or per-month. DATA FRESHNESS: - Scanner version is reported in response.scanner.version. - L1 rule set freshness reflects compuute-scan releases — see github.com/Compuute/compuute-scan/CHANGELOG.md for the latest CVE and threat-intel response timeline. EXAMPLES: Example 1 — scan an MCP server you're evaluating: github_url = "https://github.com/modelcontextprotocol/servers" → score: 0, summary: {critical: 1, high: 94, medium: 22} → top_findings include SSRF, eval, etc. → recommendation: "AVOID — 1 critical and 94 high finding(s)..." Example 2 — scan a clean reference implementation: github_url = "https://github.com/microsoft/azure-devops-mcp" → score: 90+, summary: {critical: 0, high: 1} → recommendation: "REVIEW — 1 high finding(s)..." Example 3 — scan your own dev MCP-server before publishing: github_url = "https://github.com/yourorg/your-mcp" → audit your own surface before others install it OUTPUT FIELDS (stable schema): - repo_url (str): canonical URL of the scanned repo. - score (int): 0-100, higher safer. Coarse summary, not a precision claim. - summary (object): {critical, high, medium, low, info, files_scanned}. - recommendation (str): action guidance derived from severity counts. - findings_count (int): total raw findings (may include false positives). - top_findings (list): up to 10 most severe, each with {id, title, severity, file, line, owasp, cwe}. - l0_discovery (object): MCP transport, tool count, dependency pinning. - performance (object): clone_seconds, scan_seconds, repo_size_bytes. - scanner (object): {name, version, layers_covered}. - _disclaimer (str): MANDATORY triage disclaimer. Read it. Args: github_url: Public GitHub HTTPS URL (e.g. https://github.com/org/repo). Must be public and < 200 MB. v1 is github.com only. Returns: Structured scan result. On error, returns {"error": code, "message": ...} with HTTP-style code (invalid_url, clone_failed, scan_timeout, etc.).
    Connector
  • Audit a project's dependencies in one shot. Returns a single-sentence `verdict` (e.g. "DO NOT INSTALL — 1 hallucinated: fastapi-turbo") that an agent can paste into its reply, plus per-package health/vulns/recommendation. Detects hallucinated packages, deprecated, typosquats, critical vulnerabilities. Accepts EITHER {ecosystem, packages:[name@ver, …]} (up to 100, returns JSON) OR {packages:[{ecosystem, package}, …]} (up to 50, mixed ecosystems, returns text brief). USE WHEN: user pastes package.json/requirements.txt/Cargo.toml; agent generated install command; 'is my stack OK'. RETURNS: JSON with `verdict`, `project_risk`, `summary.hallucinated_packages`, `summary.deprecated_packages`, per-package health.
    Connector
  • Fast pre-flight filter for a batch of (ecosystem, package) pairs. DB-only, <100ms for 100 items. USE WHEN: about to emit `npm install a b c …` or `pip install a b c …` — catches hallucinated names, stdlib, typos, and known-bad in ONE call. NOT a dep-tree audit (use scan_project for that). RETURNS: per-item {status: exists|stdlib|malicious|typosquat_suspect|historical_incident|unknown}.
    Connector
  • Returns the RAW body of one agent-onboarding artifact shipped with a store template (system prompt, Agent Skills SKILL.md, MCP-config snippet, …). Placeholders ({{slot:KEY.prop}}) are NOT substituted — use this BEFORE installing the template, when there is no display yet to resolve slot slugs against. After install, use get_display_agent_artifact for the placeholder-substituted body ready to paste/save. Discover available artifact keys via get_store_template_details (agentArtifacts array). No authentication required.
    Connector

Matching MCP Servers

Matching MCP Connectors

  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • Daily world briefing that tells AI assistants what's actually happening right now. Leaders, conflicts, deaths, economic data, holidays. Updated daily so they stop getting current events wrong.

  • Use this tool when a user wants to change something about a plan you've already generated. Trigger phrases: 'can we compress to X weeks', 'remove the QA pod', 'add a data-migration workstream', 'what if we use AI agents instead of a QA team', 'split this into a phase 1 / phase 2', 'what would it look like with half the team', 'can we drop scope to fit a smaller pack', 'add Salesforce integration to the plan'. Requires the plan_id from a prior plan_vdc call. Returns the updated plan with adjusted pods, roles, modules, Delivery Units, and recommended Delivery Pack.
    Connector
  • Returns VoiceFlip MCP server health and version metadata. No authentication required. Use this first to verify the server is reachable from your MCP client.
    Connector
  • Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most questions - 'rag': Semantic search across documents & messages - 'entity': Entity-centric queries (e.g., 'Tell me about [entity]') - 'relationship': Two-entity queries (e.g., 'How is [entity A] related to [entity B]?') Examples: - 'What did we discuss about the budget?' → knowledge.query - 'Tell me about [entity]' → knowledge.query mode=entity - 'How is [A] related to [B]?' → knowledge.query mode=relationship NOT for finding/listing files, threads, or links — use workspace.search for that.
    Connector
  • Reference text on supply-chain network optimization — mixed-integer programming (MIP), the structure of decision variables and constraints, the objective function for landed-cost minimization, and the common problem classes (facility selection, sourcing, flow constraints, multi-period, BOM/production, multi-objective). Also covers when to reach for optimization vs simulation. Pure static text — no engine call, deterministic output. Use this when the user asks a conceptual 'how does network optimization work' question. ChiAha's AMOS optimizer (open-source, Odin, GLOP/CBC via OR-Tools) powers the Tariff and Coffee Co-pack demos on the sandbox.
    Connector
  • Compute the lifetime cost of a smoking habit — cigarettes per day × pack price × years — and compare it against what the same money would have grown to if invested at a given annual return. Returns total spent, annual spend (the 'quit today' figure), invested future value, and the opportunity-cost gap. Defaults to US averages: $7/pack, 20 cigarettes per pack. The CDC estimates total US smoking-related cost (medical + lost productivity) at $1.4 trillion/year — this calculator answers the personal version of that number.
    Connector
  • Connectivity check — returns server version and current timestamp. Use to verify MCP server is reachable before calling other tools.
    Connector
  • Sign out of your RealOpen MCP session. Use this when the user wants to switch accounts or disconnect.
    Connector
  • Answer questions using knowledge base (uploaded documents, handbooks, files). Use for QUESTIONS that need an answer synthesized from documents or messages. Returns an evidence pack with source citations, KG entities, and extracted numbers. Modes: - 'auto' (default): Smart routing — works for most questions - 'rag': Semantic search across documents & messages - 'entity': Entity-centric queries (e.g., 'Tell me about [entity]') - 'relationship': Two-entity queries (e.g., 'How is [entity A] related to [entity B]?') Examples: - 'What did we discuss about the budget?' → knowledge.query - 'Tell me about [entity]' → knowledge.query mode=entity - 'How is [A] related to [B]?' → knowledge.query mode=relationship NOT for finding/listing files, threads, or links — use workspace.search for that.
    Connector
  • Get full details + ready-to-paste call template for a service. Returns the service row plus a `call_template` field: - call_template.mcp : how to call via MCP streamable-http (python snippet, inspector CLI line, Claude Desktop config fragment). - call_template.http_x402 : 5-step HTTP+402 payment flow with the exact endpoint URL and a curl probe. Use this AFTER `search` to grab the snippet — no need for the agent to hand-craft an x402 client. Args: slug: Service slug as returned by `search` items.
    Connector
  • Buy a credit pack. Charges the saved card off-session if one is on file (returns immediately on success). If no card is saved yet, run `start_checkout` first to capture one.
    Connector
  • Lists Vocab Voyage's MCP starter prompts (also exposed via the standard MCP prompts/list endpoint). Useful for hosts that don't yet support prompts/list.
    Connector
  • Write a private memory pack to your agent's personal vault. Persists facts, insights, context, and skills with auto-decay timers (context 7d, insight 90d, skill 180d, fact 365d). First 500 lifetime writes free, then $0.01/pack. Mark immortal=true (+$0.05) to disable decay forever. Vault is private — only your agent can read it. Pair with vault_query for recall. Requires API key.
    Connector