"Connecting Feishu (Lark)" matching MCP servers:

Enables AI agents to create and update live two-team scoreboards, keep score, and share spectator links after securely connecting a user's account.

Enables autonomous financial agents to pool corporate treasury cash, rebalance liquidity, and optimize yield sweeps while enforcing double-entry ledger integrity, HMAC-SHA256 signature verification, and fraud-detection safety buffers that prevent overdrafts. Runs on pure Python standard library and plugs into MCP clients such as Claude Desktop, Cursor, and Windsurf.

Enables multi-party conditional escrow locking, autonomous proof-of-delivery release triggers, referral fee splits, and dispute freeze protection for agentic commerce and enterprise settlement workflows.

Enables autonomous financial agents and payment systems to analyze transaction streams in real time, detect velocity-based fraud patterns such as card testing, volume spikes, and account takeovers, and produce balanced ledger records with audit telemetry.

Enables autonomous financial agents to optimize payment recovery by analyzing decline-code retry windows and mitigating involuntary churn, while enforcing balanced double-entry ledger records, HMAC-SHA256 signature verification, and sliding-window fraud detection through an MCP-compatible interface.

Enables AI agents to run automated Rubinstein alternating-offers bargaining and multi-item bundle negotiations with merchant gateways, resolving catalog availability and settling through tokenized, spend-bounded payment rails under the Universal Commerce Protocol. Ships as a zero-dependency Python standard library MCP STDIO server.

Enables AI agents to resolve multi-merchant Universal Commerce Protocol catalogs with Pareto-optimal pricing and SLA routing, while supporting tokenized payment delegation and automated bargaining through MCP tools.

Enables AI agents to propose structured payment intents, apply deterministic policy, require human approval, and record tamper-evident audit trails without connecting to live payment rails.

Enables AI agents to manage Agentic Payment Protocol ephemeral tokens with cryptographic spend mandates, risk scoring, merchant catalog resolution, and automated bargaining through MCP tools.

Enables MCP clients and autonomous financial agents to submit payment webhook events, journal entries, or transaction streams and receive cryptographically verified, balanced double-entry ledger records with HMAC signatures and hash-chained audit telemetry. It enforces debit/credit invariants and supports fraud detection for real-time accounting workflows.

Enables agents to translate consumer shopping intent into aggregated item discovery, cross-merchant cart consolidation, and structured transaction checkout payloads across multiple merchants. It runs as a zero-dependency Python MCP server or importable module compatible with Claude Desktop, Cursor, and other work agent frameworks.

Enables agents to monitor transaction streams, detect recurring charges and price creeping, flag zombie subscriptions, and generate automated cancellation workflows.

Enables secure ingestion and validation of payment webhooks using HMAC-SHA256 signatures, replay tolerance, and atomic idempotency locking to prevent duplicate financial transactions. It provides deterministic ledger integrity and risk auditing for autonomous financial agents and payment rails.

Publishes a zero-dependency, standard-library-only STDIO MCP server that exposes agentic commerce capabilities such as multi-merchant catalog resolution, spend-bounded cryptographic payment delegation, and automated alternating-offers bargaining. It lets agents locally model and test delegation-verified checkout orchestration against UCP/AP2-style protocols without any external packages.

Enables auditing monthly broadband and mobile bills, detecting out-of-contract price creep and hidden junk fees, and synthesizing high-leverage churn-threat retention negotiation scripts through an MCP-compliant JSON-RPC interface.

Enables connecting to Zelta through the Model Context Protocol for use with Claude Desktop, Cursor, or Continue.dev.

Enables connecting to the Plaid Sandbox API to retrieve bank accounts, transactions, and balances through MCP tools.

Enables agents to issue and validate cryptographic delegated payment mandates for tokenized checkout, enforcing spend limits, velocity thresholds, and merchant whitelists. Generates ephemeral single-use authorization tokens so commerce and workplace agents can complete purchases within policy boundaries.

Enables parsing of structured financial receipts, invoices, and bank statements, tolerance-based three-way reconciliation, detection of tax calculation drift and duplicate claims, and synthesis of double-entry bookkeeping journal entries.

Non-custodial 2-of-3 Bitcoin escrow for AI agents. Two agents agree on signed terms, the buyer funds over Lightning, the seller delivers and gets paid over Lightning, and a neutral arbiter key only breaks ties.

Enables users to audit recurring bank/card subscription charges, detect sneaky fee increases or expired-trial conversions, calculate annualized budget leakage, and generate retention negotiation dispute letters.

Enables cross-border Geo-IP currency conversion and dynamic VAT/tax nexus calculation, exposing deterministic, zero-dependency tools for AI agents via the Model Context Protocol.

Enables autonomous refund and dispute arbitration by validating carrier proofs and policies, producing structured output dossiers with execution telemetry.

Enables connecting AI assistants to Exact Online through its official REST API with OAuth2 authentication and automatic token refresh. Provides curated tools for reading and, optionally, writing common accounting entities such as accounts, contacts, items, journal entries and sales/purchase invoices, plus generic GET/POST/PUT/DELETE tools for any other endpoint, over local stdio or hosted HTTP transports.

Enables autonomous evaluation of contractual milestone criteria — such as merged pull requests, unit-test pass rates, and Lighthouse performance thresholds — against submitted telemetry to decide whether funds should be released. It verifies cryptographic acceptance proofs and issues payout authorization tokens through MCP JSON-RPC 2.0 tools.

Enforces autonomous merchant checkout token and velocity limits for Agentcard/Stripe transactions.

Enables evaluating transaction geography, card BIN networks, authorization probabilities, and basis-point rail costs to route payments along Pareto-optimal settlement paths and optimize interchange fees across ACH, FedNow, and card rails.