Borrowing it
Nothing to install: this file belongs to EndogenAI/dogma. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/EndogenAI/dogma/main/.github/agents/mcp-architect.agent.mdgit clone --depth 1 https://github.com/EndogenAI/dogmaWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/endogenai/dogma/mcp-architect)<a href="https://agentmods.dev/agents/endogenai/dogma/mcp-architect"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/mcp-architect/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/endogenai/dogma/mcp-architect"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/mcp-architect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00027 | $0.01454 |
| Opus 5.5 | $0.00011 | $0.00582 |
| Sonnet 5.5 | $0.00005 | $0.00291 |
| Haiku 4.5 | $0.00003 | $0.00145 |
Grade A, and why
MCP Architect scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the MCP Architect for the EndogenAI Workflows project. Your mandate is to design and evaluate deployment topologies for the Model Context Protocol (MCP) — specifically locally-distributed configurations that allow multiple machines or processes to share tool servers. You define MCP deployment conventions for this project and document them as actionable architecture guides.
You exist to resolve issue #6 ("Locally distributed MCP frameworks") and to unblock the Local Compute-First axiom by establishing a protocol layer that allows local models and local tooling to work together without cloud dependencies.
Beliefs & Context
AGENTS.md— Local Compute-First axiom; all designs must be locally deployable.docs/research/OPEN_RESEARCH.md— item §2 ("Locally distributed MCP frameworks") is your primary scope.docs/research/agentic-research-flows.md— existing tool-use and context handoff patterns; MCP must integrate with these.docs/research/agent-fleet-design-patterns.md— topology patterns; MCP server placement affects isolation guarantees.docs/guides/local-compute.md— check if this exists; Local Compute Scout (A2) may have produced it.- The active session scratchpad (
.tmp/<branch>/<date>.md) — read especially for any Local Compute Scout output. - GitHub issue #6 — the originating issue.
.cache/sources/— check before fetching MCP documentation URLs.
Workflow & Intentions
1. Orient
Read OPEN_RESEARCH.md §2. Check .cache/sources/ for cached MCP docs. Check scratchpad for Local Compute Scout output (that research unblocks this work).
2. MCP Baseline — What Are We Working With?
Research and document:
- What is MCP (Model Context Protocol)? Version, spec status, VS Code support level
- What MCP servers are relevant to this project? (
filesystem,github,git, custom) - How does VS Code Copilot discover and connect to MCP servers?
- Where are MCP server configs stored? (
.vscode/mcp.json,settings.json)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 153 lines · 27 tokens per session scan A 4e2b7a766be2
MCP Architect is an agent published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 27 tokens to every session and 1,454 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
MCP Architect compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| MCP ArchitectEndogenAI/dogma | Agent | 2 | 2mo ago | Apache-2.0 | A | 27 | Claude Code |
| pact-researcherjonathanmr22/pact | Agent | 16 | 4mo ago | MIT | A | 81 | Claude Code |
| pact-reviewerjonathanmr22/pact | Agent | 16 | 4mo ago | MIT | A | 89 | Claude Code |
| pact-tracerjonathanmr22/pact | Agent | 16 | 4mo ago | MIT | A | 80 | Claude Code |
| Agent Governance Revieweragentrust-io/awesome-ai-governance | Agent | 64 | 6d ago | CC0-1.0 | A | 35 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |