Borrowing it
Nothing to install: this file belongs to ssasuoirafen/teams-mcp-server. 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/ssasuoirafen/teams-mcp-server/main/CLAUDE.mdgit clone --depth 1 https://github.com/ssasuoirafen/teams-mcp-serverWrote 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/instructions/ssasuoirafen/teams-mcp-server/claude-md)<a href="https://agentmods.dev/instructions/ssasuoirafen/teams-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/ssasuoirafen/teams-mcp-server/claude-md/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/instructions/ssasuoirafen/teams-mcp-server/claude-md"><img src="https://agentmods.dev/badge/instructions/ssasuoirafen/teams-mcp-server/claude-md.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 | $0.01772 | $0.01772 |
| Opus 5 | $0.00886 | $0.00886 |
| Sonnet 5 | $0.00354 | $0.00354 |
| Haiku 4.5 | $0.00177 | $0.00177 |
Grade A, and why
teams-mcp-server CLAUDE.md 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 8d 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Teams MCP Server
MCP server for Microsoft Teams via Microsoft Graph API. Delegated auth (device code flow), no client secret.
Stack
Python >=3.12 (dev pin: 3.14 via .python-version), mcp[cli] (FastMCP API), httpx, msal. Registration-count smoke test in tests/ (uv run pytest); ruff + pytest in the dev group (uv sync). CI runs on push/PR via .github/workflows/ci.yml (uv sync + pytest + advisory ruff).
Commands
uv run teams-mcp # run server (needs TEAMS_MCP_TENANT_ID, TEAMS_MCP_CLIENT_ID)
Environment Variables
TEAMS_MCP_TENANT_ID(required) - Azure AD tenant IDTEAMS_MCP_CLIENT_ID(required) - App registration client IDTEAMS_MCP_SCOPES(optional) - comma-separated scope override (default:.default; scope semantics in the Scopes section)
Architecture
Three-file pattern, all logic flows through the same pipeline:
server.py (MCP tools) -> graph.py (Graph API client) -> Microsoft Graph REST API
auth.py (MSAL device code flow, token cache)
src/teams_mcp/auth.py- AuthManager: device code flow, token cache at~/.teams-mcp/token_cache.json. Default scopehttps://graph.microsoft.com/.default(semantics in the Scopes section)src/teams_mcp/graph.py- GraphClient: async httpx wrapper with_get,_post,_post_no_content,_patch,_deletehelpers. All raiseGraphApiErroron failure (parses Graph API JSON error body).GRAPH_BASEconstant points at v1.0 — all endpoints currently used are GA.src/teams_mcp/server.py- MCP tools + response post-processing (Adaptive Card text extraction, forwarded/quoted message parsing, hosted-content inlining, mention parsing). Globalauth/graphinitialized lazily._require_auth()guard on every tool.
Tools
Auth
login/complete_login- device code flow (two-phase)
Read
list_teams,list_channels,list_chatslist_channel_messages,list_chat_messages,list_thread_replieslist_team_members,list_channel_members,list_chat_memberslist_team_tags(tag ids for @tag mentions; needsTeamworkTag.Read)list_pinned_messagesget_user_presence,get_user(search by name/email)search_messages(Microsoft Search API, full-text)download_attachment(inline images via hostedContents, magic-byte format detection — png/jpg/gif/webp, returns temp file path)
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.
- 8d ago First seen · 111 lines · 1,772 tokens per session scan A 0411699f97bf
teams-mcp-server CLAUDE.md is an instructions file published in the GitHub repository ssasuoirafen/teams-mcp-server (0 stars, last pushed yesterday), licensed MIT. It adds 1,772 tokens to every session, about $0.0089 per session on Opus 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 2026-09-01.
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