Claude-skill-registry beeper-mcp
Unified messaging via Beeper Desktop MCP. Search chats, send messages, manage conversations across all networks (iMessage, WhatsApp, Signal, Telegram, Discord, Slack, etc.)
git clone https://github.com/majiayu000/claude-skill-registry
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/beeper-mcp" ~/.claude/skills/majiayu000-claude-skill-registry-beeper-mcp && rm -rf "$T"
skills/data/beeper-mcp/SKILL.mdCRITICAL: TOKENS PAY RENT
Every output token must produce actionable value. Violations:
- NO PASSIVE SUMMARIES - Regurgitating conversation content without action items, code, or artifacts is FORBIDDEN
- NO AGREEMENT WITHOUT IMPLEMENTATION - "I agree with X" must be followed by code/file/commit implementing X
- NO RHETORICAL QUESTIONS - Ask only when you cannot proceed without the answer
- NO PRAISE/VALIDATION - Skip "great question" / "you're right" - proceed to work
When reviewing message history:
- Extract ACTION ITEMS → create files, send messages, write code
- Extract DECISIONS → update configs, create artifacts documenting the decision
- Extract BLOCKERS → file issues, send follow-up messages
- NEVER just summarize what was discussed
Enforcement: If output contains summary without artifact, STOP and create the artifact first.
Beeper MCP Skill
Access all messaging networks through Beeper's unified interface.
Quick Start
# Search for a chat mcp__beeper__search "contact name" # Send a message mcp__beeper__send_message chatID="..." text="Hello!" # List recent chats mcp__beeper__search_chats limit=10
Core Tools
| Tool | Purpose |
|---|---|
| Find chats, groups, or people by name |
| List/filter chats by type, inbox, activity |
| Find messages by content (literal match) |
| Get chat details and participants |
| Get messages from a specific chat |
| Send text message to a chat |
| Archive/unarchive a chat |
| Set reminder for a chat |
| Open Beeper Desktop to specific chat |
Search Guidelines
CRITICAL: Queries are LITERAL WORD MATCHING, not semantic search.
- RIGHT:
orquery="dinner"query="flight" - WRONG:
orquery="dinner plans tonight"query="travel arrangements"
Multiple words = ALL must match. Use single keywords.
User Identity Clarification
IMPORTANT: Beeper/Matrix has TWO identifiers per user:
- Matrix userID:
(permanent, searchable)@username:beeper.com - Display name: User-chosen name (can differ from userID)
Example: User
@jsmith:beeper.com may have display name "John Smith"
When search finds a match:
- The search matched the userID OR display name
- Chat participant lists show display names, not userIDs
- To see userIDs, use
and checklist_messages
fieldsenderID
When reporting search results:
- Cross-reference
to maplist_messages
↔senderIDsenderName - Report as "username (displays as 'Display Name')" for clarity
Resource-Aware Message Processing
CRITICAL: Always work backwards from most recent messages to avoid:
- Re-processing already-handled tasks
- Repeating fixed issues
- Heap exhaustion from loading too much history
Default Workflow (Backwards-First)
// 1. Start with most recent (no cursor = newest first) const recent = await list_messages(chatID, { limit: 20 }); // 2. Check if already processed (use DuckDB tracking) const unprocessed = recent.items.filter(msg => !isProcessed(msg.id)); // 3. Process only new messages for (const msg of unprocessed) { await processMessage(msg); markProcessed(msg.id); } // 4. If need more history, paginate backwards if (needsMoreContext) { const older = await list_messages(chatID, { cursor: recent.cursor, direction: 'before', limit: 20 }); }
DuckDB Tracking Schema
CREATE TABLE IF NOT EXISTS beeper_processed_messages ( message_id VARCHAR PRIMARY KEY, chat_id VARCHAR, processed_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, task_extracted BOOLEAN, issue_status VARCHAR -- 'open', 'fixed', 'duplicate' ); CREATE INDEX idx_msg_chat ON beeper_processed_messages(chat_id, processed_at DESC);
Check Before Processing
function isAlreadyFixed(messageText) { // Query DuckDB for similar fixed issues const similar = db.query(` SELECT issue_id, description FROM fixed_issues WHERE description % ? -- Full-text similarity LIMIT 1 `, [messageText]); if (similar.length > 0) { console.warn(`⚠️ Similar issue already fixed: ${similar[0].description}`); return true; } return false; }
Workflow Patterns
Find and Message Someone
- Get chatIDsearch "person name"- Verify identity:
- Check recent messages ONLYlist_messages chatID="..." limit=5 send_message chatID="..." text="..."
Identify Users in a Chat
- Get RECENT messages only (not entire history)list_messages chatID="..." limit=10- Map userID ↔ displayName from the subset
Search Message History (Resource-Aware)
to get chatIDs of relevant chatssearch_chatssearch_messages chatIDs=[...] query="keyword" limit=20 dateAfter="2026-01-08T00:00:00Z"- Never omit dateAfter - prevents loading entire chat history
Monitor Unread
search_chats unreadOnly=true inbox="primary" limit=10
Filter by Network
Use
accountIDs parameter after getting accounts via get_accounts.
Message Formatting
Messages support Markdown. Use sparingly for clarity.
Chat Types
- Direct messages (1:1)single
- Group chatsgroup
- All typesany
Inbox Filters
- Non-archived, non-low-priorityprimary
- Low priority inboxlow-priority
- Archived chatsarchive
Resource-Aware Random Walk Pattern
NEVER pull full message history into context. Instead:
1. Query in DuckDB First
-- Store messages incrementally, query locally CREATE TABLE IF NOT EXISTS beeper_messages ( id VARCHAR PRIMARY KEY, chat_id VARCHAR, sender_id VARCHAR, sender_name VARCHAR, text TEXT, timestamp TIMESTAMPTZ, processed BOOLEAN DEFAULT FALSE ); -- Sample recent messages via random walk SELECT * FROM beeper_messages WHERE chat_id = ? ORDER BY RANDOM() -- Ergodic sampling LIMIT 5;
2. TreeSitter for Structure Extraction
# Extract code blocks from messages without loading full text tree-sitter parse --scope source.markdown message.md \ | grep -E "(fenced_code_block|code_span)"
3. Triadic Walker Pattern
MINUS (-1): Validate message exists in DuckDB before fetching ERGODIC (0): Random walk sample from local cache PLUS (+1): Fetch ONLY if not in cache, with strict limit
4. Context Budget Enforcement
CONTEXT_BUDGET = 10000 # chars current_context = 0 def safe_fetch(chat_id, limit=5): # Check DuckDB cache first cached = db.query("SELECT * FROM beeper_messages WHERE chat_id = ? LIMIT ?", chat_id, limit) if len(cached) >= limit: return cached # Zero network cost # Fetch only missing, with limit remaining = limit - len(cached) fresh = mcp__beeper__list_messages(chatID=chat_id, limit=remaining) # Enforce budget for msg in fresh.items: msg_size = len(msg.get('text', '')) if current_context + msg_size > CONTEXT_BUDGET: break current_context += msg_size db.insert("beeper_messages", msg) return db.query("SELECT * FROM beeper_messages WHERE chat_id = ? LIMIT ?", chat_id, limit)
5. SICP Lazy Evaluation
;; Don't fetch until actually needed (define (beeper-messages chat-id) (delay (mcp__beeper__list_messages chatID: chat-id limit: 5))) ;; Only force when required (define (get-latest-sender chat-id) (let ((msgs (force (beeper-messages chat-id)))) (cdar msgs))) ; Just sender from first message
GF(3) Integration
This skill operates as ERGODIC (0) in triadic compositions:
- Coordinates message flow between networks
- Synthesizes cross-platform conversations
- Neutral hub for communication triads
Triadic Fetch Strategy
| Trit | Role | Beeper Action |
|---|---|---|
| MINUS (-1) | Validator | Check DuckDB cache, reject if stale |
| ERGODIC (0) | Coordinator | Random walk sample, enforce budget |
| PLUS (+1) | Generator | Fetch fresh data, strict param |
Conversation Branch Awareness (Higher-Order Wiring)
Track conversation threads as wiring diagrams - morphisms between topic states.
Branch Detection Schema
CREATE TABLE IF NOT EXISTS beeper_conversation_branches ( branch_id VARCHAR PRIMARY KEY, chat_id VARCHAR NOT NULL, parent_branch_id VARCHAR, -- NULL for root topic VARCHAR NOT NULL, first_message_id VARCHAR, last_message_id VARCHAR, status VARCHAR DEFAULT 'open', -- 'open', 'resolved', 'merged', 'stale' created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, resolved_at TIMESTAMP, FOREIGN KEY (parent_branch_id) REFERENCES beeper_conversation_branches(branch_id) ); CREATE TABLE IF NOT EXISTS beeper_branch_transitions ( from_branch VARCHAR, to_branch VARCHAR, transition_type VARCHAR, -- 'fork', 'merge', 'abandon', 'resolve' message_id VARCHAR, -- message that triggered transition timestamp TIMESTAMP DEFAULT CURRENT_TIMESTAMP, PRIMARY KEY (from_branch, to_branch, message_id) );
Wiring Diagram Structure
Conversation as Category: - Objects: Topic states (branches) - Morphisms: Message sequences that transform one topic to another - Composition: Thread continuation ┌─────────────────┐ │ patents (open) │◄──── current focus └────────┬────────┘ │ fork @ msg:838941332 ┌───────────────┼───────────────┐ ▼ ▼ ▼ ┌────────┐ ┌───────────┐ ┌──────────┐ │ GF(3) │ │bisimulation│ │ toad OOM │ │resolved│ │ resolved │ │ open │ └────────┘ └───────────┘ └──────────┘
Branch Detection Heuristics
def detect_branch(messages: list) -> list[Branch]: branches = [] current_topic = None for msg in messages: # Topic markers if msg.text.startswith('**Re:') or msg.text.startswith('Re:'): # Explicit reply = potential branch topic = extract_topic(msg.text) if topic != current_topic: branches.append(Branch( topic=topic, fork_message=msg.id, parent=current_topic )) # Numbered lists often indicate parallel threads if re.match(r'^\d+\.', msg.text): items = extract_numbered_items(msg.text) for item in items: branches.append(Branch(topic=item, parent=current_topic)) # Questions create potential branches if msg.text.strip().endswith('?'): branches.append(Branch( topic=f"Q: {msg.text[:50]}", status='awaiting_response' )) return branches
Zigger Chat Branch State
Track active branches in zigger conversation:
-- Query current branch state for a chat SELECT b.branch_id, b.topic, b.status, COUNT(t.to_branch) as child_count FROM beeper_conversation_branches b LEFT JOIN beeper_branch_transitions t ON b.branch_id = t.from_branch WHERE b.chat_id = '!NhltGRLZWLUeHEBiFT:beeper.com' -- zigger GROUP BY b.branch_id ORDER BY b.created_at DESC;
Before Responding: Check Branch Context
def get_branch_context(chat_id: str) -> dict: """Always call before responding to understand conversation topology.""" # Get open branches open_branches = db.query(""" SELECT topic, status, first_message_id FROM beeper_conversation_branches WHERE chat_id = ? AND status = 'open' """, chat_id) # Get unresolved questions questions = db.query(""" SELECT topic FROM beeper_conversation_branches WHERE chat_id = ? AND topic LIKE 'Q:%' AND status = 'awaiting_response' """, chat_id) return { 'open_branches': open_branches, 'unanswered_questions': questions, 'should_address': questions[0] if questions else open_branches[0] }
Wiring Composition Rules
- Fork: One message spawns multiple topics → create child branches
- Merge: Response addresses multiple branches → mark as merged
- Resolve: Explicit closure ("done", "fixed", "shipped") → mark resolved
- Abandon: No activity for 7 days → mark stale
Integration with Tokens Pay Rent
When reviewing messages, branch tracking prevents:
- Re-answering resolved questions
- Missing open threads
- Losing context on forked discussions
Update branch state as side effect of every beeper interaction.
MCP Server Config
{ "beeper": { "command": "/bin/sh", "args": [ "-c", "BEEPER_ACCESS_TOKEN=$(/Users/alice/.cargo/bin/fnox get BEEPER_ACCESS_TOKEN --age-key-file /Users/alice/.age/key.txt) exec npx -y @beeper/desktop-mcp" ] } }
Requires:
atfnox/Users/alice/.cargo/bin/fnox- Age key at
/Users/alice/.age/key.txt
in PATHnpx- Beeper Desktop running