"Spond" matching MCP servers:

Enables fetching upcoming events for London Desperados CC from Spond via a single tool, get_desperados_events.

An MCP server for managing kids' sports activities on Spond. Built for parents who want to give AI assistants access to upcoming matches, training schedules, and attendance.

Lossless archive and search for AI agent sessions (Claude Code, Codex, opencode, pi and others), exposed to agents over MCP. Local-first, written in Rust.

Deterministically evaluates whether a proposed agent spend action matches a supplied policy, returning ELIGIBLE, DENY, or STEP_UP with stable reason codes. Provides local policy evidence only, not payment authorization.

An MCP-powered AI agent that audits your Gmail for recurring subscriptions, detects silent price increases, and flags unused services.

Enables analyzing AWS cloud spending and Bedrock usage through natural language queries using Claude.

MCP server for analyzing Canadian federal spending data, offering tools for contract search, NLP, semantic search, anomaly detection, and money-flow tracing.

Enables agents to spend funds on Visa/MasterCard prepaid cards, travel eSIMs, and gift cards, with paid KYT address screening and USDT TRC-20 funding.

Provides tools for Claude to query local Claude Code token usage and cost data, enabling spend analysis and insights through natural language.

Enables autonomous agents to enforce financial guardrails by tracking real-time token burn and cost velocity, automatically throttling or freezing execution when budgets are exceeded. It also blocks destructive shell commands, prompt injections, and runaway planning loops while sanitizing outputs before they are returned.

Approval receipts for AI browser purchases. Enables purchase evaluation, approval recording, budget alerts, and receipt export.

Enables agents to track real-time token spend and cost velocity, automatically throttle or freeze execution when budgets are exceeded, and enforce sandbox and safety guardrails.

MCP server that enables intelligent analysis of legal spend data across multiple sources (LegalTracker, databases, CSV/Excel files), providing features like spend summaries, vendor performance analysis, and budget comparisons.

Enables interaction with the Sond Core API through the Model Context Protocol. Auto-generated from the OpenAPI specification at https://core-api-lb.sond.com/api-json to provide programmatic access to Sond's services.