"How to call a smart contract function" matching MCP servers:

Enables agents to interact with a GlitchTip instance for issues, events, projects, releases, alerts, uptime monitors, performance, and more via stdio or HTTP.

MCP server for On-Call Health burnout analysis. Connects AI assistants to your on-call data for workload insights.

MCP server that diagnoses ML model regressions by correlating drift reports, eval runs, and deploy logs, providing evidence-cited incident reports through a set of investigation tools.

An MCP server that provides cost and reliability observability for LLM and agent workflows. It records model calls and allows querying and aggregating telemetry data through MCP tools.

Fetches Langfuse observability traces directly into a VS Code coding agent's context, enabling querying and viewing trace data through natural language.

Enables AI agents to monitor Docker containers, system resources, ports, and logs in real-time.

Read-only MCP server for TrueNAS Scale debugging, providing k3s tools for kubectl operations and whitelisted midclt calls for system info, apps, and pools.

A paid, hosted MCP server that acts as a witness layer for AI agent tool calls, providing receipt creation, approval evidence, argument redaction, result summaries, and audit exports.

Enables AI agents to analyze ROS2 log files across multiple nodes by merging them into a unified timeline and providing smart query tools, without requiring ROS2 installation.

A security proxy for MCP servers: wrap any server's launch command and every tool call is screened and recorded before it runs. Set the posture to enforce and a dangerous call is stopped and handed back to your agent as coaching it can act on.

Enables MCP clients to call a hello tool and access observability features, including metrics and request traces, through a Streamable HTTP transport with SQLite-backed storage.

Enables coding agents to ask TypeSafe Jev for structured decisions while recording every call to a local JSONL trace, and provides tools to read back and export decision histories for debugging.

Solves word puzzles like Spelling Bee, crosswords, and Wordle using a full dictionary, while logging every call to Postgres for audit and usage analysis.

Enables tracing every tool call from a ChatGPT app into LangSmith, one run per tool call, grouped per conversation thread. Provides thread-level evaluation and monitoring of tool interactions.

MCP server for the Splunk On-Call (VictorOps) API providing comprehensive incident management, on-call schedules, team administration, and alert reporting through natural language.

Analyzes how search engines and AI systems discover, crawl, cite, and convert traffic via CLI and MCP tools.

Enables a telecom support assistant to look up customers, check balances and orders, suspend lost SIMs, open tickets, and analyze SIP traces to diagnose call failures.

An observability control plane for Paper's MCP that acts as a passive proxy to meter, attribute, and live-stream every tool call with budgets and a real-time dashboard.

SpineFrame is a audit-grade runtime that gives AI agents auditable provenance — every tool call, every piece of evidence, every decision is traced, policy-checked, and cryptographically signed. Signed evidence chains, compliance pipelines, and tool-call tracing that survives regulatory scrutiny.

Enables replacing an existing MCP tool server with a gateway that emits metadata-only OpenTelemetry traces for every tool call and forwards requests to the original server.