Which integrations are available for this server?

Provides integration with CrewAI via a task completion callback to settle agent outputs in the ledger. Provides integration with LangGraph by wrapping node functions to settle agent outputs in the ledger. Provides integration with OpenAI (Assistants and Agents SDK) via run handlers and agent hooks to settle agent outputs in the ledger.

How do I use swarm-at?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@swarm-at check trust level for agent 0x1234" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

swarm-at

by Mediaeater

Overview Schema Related Servers Score Discussions

Python

Hybrid

swarm.at Public Ledger

Hash-chained public record of verified agent settlements. Append-only, tamper-evident, auditable by anyone.

Every entry in ledger.jsonl is a SHA-256 hash-chained settlement that passed the full verification pipeline: integrity check, confidence threshold, and shadow audit. Modifying any entry breaks all subsequent hashes.

Ledger Format

Each line in ledger.jsonl is a JSON object:

{
  "timestamp": 1770480398.05,
  "task_id": "fingerprint-pg84",
  "parent_hash": "000000...000000",
  "payload": { "type": "text-fingerprint", "title": "Frankenstein", "..." : "..." },
  "current_hash": "453eaa...178b287"
}

parent_hash links to the previous entry's current_hash (genesis = 0 x 64)
current_hash = SHA-256 of the entry with current_hash set to ""
The chain is tamper-evident: modifying any entry breaks all subsequent hashes

Related MCP server: moltbridge

Canonical Hash Algorithm

To verify any entry:

Parse the JSON line into a dict
Set current_hash to "" (empty string)
Serialize with json.dumps(entry, sort_keys=True).encode() (UTF-8)
Compute hashlib.sha256(serialized).hexdigest()
Compare against the stored current_hash

The genesis (first entry's parent_hash) is always "0" * 64 (64 zero characters).

Data Provenance

Entries in this ledger are synthetic seed data generated from public domain sources (Project Gutenberg texts, scientific constants, geographic facts). They demonstrate the settlement protocol's hash-chaining and verification pipeline. They are not records of real agent interactions.

Verification

Three ways to verify the chain:

Standalone (zero dependencies, Python 3.8+):

python verify.py
# OK: 1107 entries, chain intact

SDK:

from swarm_at.settler import Ledger
ledger = Ledger(path="ledger.jsonl")
print(ledger.verify_chain())  # True

API:

curl https://api.swarm.at/public/ledger/verify
# {"intact": true, "entry_count": 1107}

Settlement Receipts

Every settled entry produces a receipt that any agent can look up by hash. No authentication required.

curl https://api.swarm.at/public/receipts/{hash}
# {"status": "SETTLED", "hash": "...", "task_id": "...", "timestamp": ..., "parent_hash": "..."}

Receipts let third parties verify that a specific settlement happened, when it happened, and where it sits in the chain.

Trust Verification

Check an agent's trust level without authentication:

# Does this agent meet a trust threshold?
curl "https://api.swarm.at/public/verify-trust?agent_id=X&min_trust=trusted"
# {"agent_id": "X", "meets_requirement": true, "trust_level": "trusted", "reputation_score": 0.95}

# How many agents at each trust level?
curl https://api.swarm.at/public/trust-summary
# {"total_agents": 5, "by_trust_level": {"untrusted": 0, "provisional": 0, "trusted": 4, "senior": 1}}

Trust Badges

Embeddable SVG badges show an agent's trust level at a glance. No authentication required.

https://api.swarm.at/badge/{agent_id}

Colors: untrusted (red), provisional (yellow), trusted (green), senior (blue).

MCP Server

29 tools available via the Model Context Protocol:

mcp add swarm-at -- python -m swarm_at.mcp

Tool	Description
settle_action	Validate an action against institutional rules
check_settlement	Query ledger status for a task or hash
ledger_status	Current chain state (latest hash, entry count, integrity)
guard_action	Settle before acting — propose + settle + receipt in one call
list_blueprints	Browse workflow blueprints by tag
get_blueprint	Full blueprint detail with steps and credit cost
get_credits	Check an agent's credit balance
topup_credits	Add credits to an agent
fork_blueprint	Fork a blueprint into an executable workflow
verify_receipt	Look up a settlement receipt by hash
check_trust	Check if an agent meets a minimum trust threshold
settle_batch	Settle multiple proposals in one call
register_agent	Register a new agent identity with trust tracking
get_agent	Look up an agent's profile and reputation
list_agents	Browse agents by trust level and role
whoami	Agent self-introspection (trust, tools, next promotion)
execute_step	Execute a single workflow step in a molecule
list_molecules	List active workflow molecules with progress
get_molecule	Get full molecule state with all beads
register_webhook	Subscribe to settlement events
list_webhooks	List registered webhook subscriptions
unregister_webhook	Remove a webhook subscription
claim_authorship	Create a verifiable authorship record
verify_authorship	Check authorship claims by content hash
start_writing_session	Start tracking authorship provenance
record_writing_event	Record a creative event in a session
approve_writing	Record final approval of content
get_provenance_report	Generate a verifiable provenance report
list_writing_sessions	List active authorship sessions

Framework Adapters

Seven adapters settle agent outputs with zero hard dependencies on the framework:

Framework	Adapter	Entry Point
LangGraph	`SwarmNodeWrapper`	Wraps node functions
CrewAI	`SwarmTaskCallback`	Task completion callback
AutoGen	`SwarmReplyCallback`	Agent reply observer
OpenAI Assistants	`SwarmRunHandler`	Run and step settlement
OpenAI Agents SDK	`SwarmAgentHook`	Runner result and tool call settlement
Strands (AWS)	`SwarmStrandsCallback`	Tool and agent completion callbacks
Haystack	`SwarmSettlementComponent`	Pipeline component returning receipts

Install adapters via optional extras:

pip install swarm-at-sdk[langgraph]
pip install swarm-at-sdk[openai-agents]
pip install swarm-at-sdk[strands]
pip install swarm-at-sdk[haystack]

Blueprint Catalog

58 pre-validated blueprints across 9 categories:

Category	Count	Examples
Procurement & Supply Chain	5	vendor-negotiation, purchase-approval, delivery-confirmation
Software Development	5	code-review-pipeline, pr-merge-audit, incident-escalation
Finance & Compliance	5	invoice-matching, kyc-verification, financial-close
Content & Knowledge	5	research-workflow, fact-checking, translation-verification
Customer Operations	5	escalation-routing, refund-approval, sla-compliance
Specialty	6	audit-chain, healthcare-referral, insurance-adjudication
AI & ML Ops	9	model-validation, training-pipeline, prompt-regression
Security & Compliance	9	vulnerability-triage, access-review, incident-response
Data Engineering	9	etl-pipeline, data-quality, schema-migration

Browse: api.swarm.at/public/blueprints

Each blueprint defines 2-4 steps with role assignments (worker, auditor, specialist, orchestrator, validator), dependency chains, and credit costs (2.0-8.0 per settlement).

Settlement Types

Knowledge Verification

Type	Description
text-fingerprint	Public domain text ingestion + hashing
qa-verification	Factual Q&A with multi-agent consensus
fact-extraction	Structured entity extraction from text
classification	Genre/topic/tone multi-label tagging
summarization	Text condensation with cross-verification
translation-audit	Cross-language verification
data-validation	Math constants + periodic table verification
code-review	Algorithm correctness + complexity analysis
sentiment-analysis	Dimensional sentiment scoring
logical-reasoning	Syllogism and formal logic verification
unit-conversion	Metric/imperial/scientific unit verification
geo-validation	Geographic fact verification
timeline-ordering	Chronological event ordering
regex-verification	Pattern matching correctness
schema-validation	Data schema conformance checking

Agent Behaviors

Type	Description
code-generation	New code creation with language + framework metadata
code-edit	Modifications to existing code with diff tracking
code-refactor	Structural improvements preserving behavior
bug-fix	Defect resolution with root cause analysis
test-authoring	Test creation with coverage and assertion tracking
codebase-search	Code search operations with match scoring
web-research	Web research with source verification
planning	Task decomposition and execution planning
debugging	Diagnostic investigation with hypothesis tracking
shell-execution	Shell command execution with safety classification
file-operation	File system operations with change tracking
git-operation	Git operations with ref and diff metadata
dependency-management	Package and dependency management
agent-handoff	Task delegation between agents
consensus-vote	Multi-agent consensus participation
task-delegation	Work distribution to sub-agents
documentation	Documentation creation and updates
api-integration	External API calls with endpoint tracking
deployment	Build, deploy, and release operations
conversation-turn	Conversational exchange settlement

Protocol Operations

Type	Description
blueprint-fork	Blueprint forked into executable workflow
guard-action	Pre-action settlement check (settle before you act)
trust-check	Agent trust level verification against threshold
credit-topup	Credits added to agent balance
receipt-verify	Settlement receipt lookup by hash
badge-request	Trust badge SVG generation
adapter-settlement	Framework adapter settling agent output

Lexicon

Term	Definition
Settlement	A verified, hash-chained record of an agent action. One credit = one settlement.
Ledger	Append-only JSONL file where settlements are recorded. Each entry's hash chains to the previous.
Proposal	An agent's request to settle an action. Contains a header (task ID, parent hash) and payload (data, confidence score).
Receipt	Proof that a settlement occurred. Contains hash, task ID, timestamp, and parent hash. Publicly verifiable.
Blueprint	A pre-validated workflow template with ordered steps, role assignments, and credit cost. Forkable by any agent.
Workflow	An executable instance of a blueprint. Created by forking. Each step maps to one settlement.
Trust Level	Agent reputation tier: untrusted, provisional, trusted, senior. Computed via Bayesian credible intervals.
Credit	Unit of settlement currency. 1 credit = 1 settlement. New agents get 100 free.
Guard Action	Pattern: settle before you act. Propose, settle, get receipt in one call. Raises error on rejection.
Shadow Audit	Cross-model verification where a second model independently checks the primary's output.
Divergence	When a shadow audit disagrees with the primary. Penalizes the agent's trust score.
Adapter	Framework integration that settles agent outputs without hard-importing the framework. Uses duck typing.
Agent Card	A2A discovery document at `/.well-known/agent-card.json` describing the protocol's capabilities.
Tier	Settlement strictness level: sandbox (log-only), staging (writes, no chain enforcement), production (full).

Latest Blog Posts

Your AI Chatbot Just Exposed Your CEO's Salary to an Intern
By Om-Shree-0709 on July 2, 2026.
Agent Identity
MCP Security
OAuth Delegation
Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)
By Om-Shree-0709 on June 30, 2026.
Agentic Ai
Prompt Injection
WebAssembly
Lightport: Open-Sourcing Glama's AI Gateway
By punkpeye on April 27, 2026.
OpenAI
open source

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Mediaeater/swarm-at-ledger'

If you have feedback or need assistance with the MCP directory API, please join our Discord server