"Methods to Improve Development Productivity Using MPC (Model Predictive Control)" matching MCP servers:

Exposes a professional services pipeline prediction model with tools to score opportunities, validate inputs, and retrieve model metadata such as win probability, fees, and margin.

MCP server for qualifying and responding to inbound leads in seconds using a multi-agent AI pipeline.

Enables pushing enriched leads into Instantly or Smartlead campaigns with ICP score gating, deduplication, and dry-run previews via an Apify actor.

Resolves a company domain to its LinkedIn company page URL. Lightweight enrichment tool for sales and prospecting workflows.

Enables Claude to interact with the Centrex CRM & LOS API, providing direct access to contacts, advances, documents, alerts, users, teams, and lender submissions.

Unifies CRM and productivity tool APIs behind a single interface, letting AI agents and developers create, update, delete, and list records across Zoho, HubSpot, Odoo, Google Sheets, Gmail, and Google Calendar without handling platform-specific schemas.

Enables querying and creating clients, service orders, collaborators, service requests, equipment, and other resources from the Field Control API directly in conversations with Claude.

Official MCP server for FormaCV, enabling AI-powered CV formatting, anonymization, tailoring, and ATS push-back from AI agents like Claude Desktop and Cursor.

MCP server that enables Google ADK agents to triage solar fault signals, retrieve Salesforce diagnostics via hosted MCP prompt templates, and create WorkOrder records when replacements are needed.

Enables AI agents to perform CRM operations like creating contacts, managing deals, and updating leads through natural language using the Model Context Protocol.

Free, open-source MCP server and CLI for the BaseLinker API, exposing two tools to call any API method and list methods with minimal context cost.

Enables natural language control of Teamleader Focus CRM, invoicing, and project management through the Model Context Protocol.

A Model Context Protocol server for Salesforce development workflows, enabling org lookup, metadata deploy/retrieve, SOQL queries, Apex tests, and permission set assignment.

Exposes Salesforce development tools (scan, lint, test, deploy, verify) to AI assistants via the Model Context Protocol, enabling programmatic interaction with Salesforce projects.

A remote MCP server that lets Claude securely interact with an Acumatica ERP instance using per-user OAuth, role-based access control, and automatic redaction of sensitive fields.

A demo MCP server with two governed systems (pipeline semantic layer and predictive model) for querying and scoring professional services opportunities with cross-system governance.

Enables candidates to apply to your open roles through an AI agent using Model Context Protocol, with Postgres, S3 storage, and an admin API for role management and applicant review.

Enables predictive B2B outbound buying propensity scoring by aggregating time-decayed hiring, funding, and technographic signals, then classifying accounts into outbound action tiers.

Enables Claude AI to securely query live SAP inventory data through Salesforce by invoking typed Apex methods via MCP, using OAuth 2.0 JWT Bearer flow for authentication.

Enables AI tools to search and enrich B2B leads, including finding professional emails, company profiles, and filtering people and companies by various criteria.