晨舟财务会计软件 MCP (Model Context Protocol) 服务器 - HTTP流式版本
Bookkeeping and ledgers.
晨舟财务会计软件 MCP (Model Context Protocol) 服务器 - HTTP流式版本
晨舟财务会计软件 MCP (Model Context Protocol) 服务器
MCP server for Beancount plain-text accounting: double-entry transactions written by an AI agent, validated with bean-check and committed to git.
MCP Server to interact with Chift API via Chift Python SDK
MCP Server for insurance carrier accounting — ingest carrier PDFs/Excel, reconcile against Applied Epic, post entries. Built for US insurance agencies.
Bokicast MCP Server is an MCP server designed for a brand-new style of bookkeeping study.
Confirmation-gated, auditable write access to TallyPrime over MCP — draft, confirm, verify, with a full audit log.
Japanese public-program MCP — subsidies, loans, tax, law, invoice. 261 tools, ¥3/billable unit
Reviews, 14 bounded tax and super worksheets, cited retrieval from your local Markdown. Not advice.
Russian tax calculators (VAT, USN, NDFL) and FNS fiscal-status checks via MCP.
Query the ATO in plain English — tax by postcode, corporate tax, GST, super, charities.
Audit the context tax of your MCP servers; toggle them off per session
MCP server for Manager.io bookkeeping: read-first with opt-in scoped task and write tools
Exact, sourced Sri Lankan tax calculations: APIT, income tax, withholding tax, VAT and SSCL.
Read a GnuCash book and import bank statements into it.
MCP server exposing the CatQualia record: the falsification ledger (16,217 pre-registered claims with the measurement that would refute each, the value measured, and the verdict) plus 79 cross-domain atlases, 29 of them Void Atlases mapping what is absent where the knowledge already exists.
MCP server that lets an AI assistant add and correct transactions in a BitcoinTX ledger
Licensed local MCP server. Verify supplied agent spend mandates and transactions against merchant, category, currency, time and budget limits.
MCP Server for Accounting Subject Analysis Method - 提供根据科目/指标名称获取分析方法和输出样例的工具
Canadian ACB and capital gains: average-cost, per-disposition gains, superficial-loss detection.