What is an MCP server?
An MCP server gives an AI tool structured access to external tools and data. It exposes clear actions, validated inputs, and predictable responses so assistants can work inside real systems instead of staying limited to chat.
AI tool integrations
We build MCP servers and plugins for any AI tool
Everyday Workflows builds MCP servers and plugins for Claude Code, OpenCode, personal assistants, and business AI systems—connecting your AI to CRM, calendar, email, messaging, and any other platform with an API.
We build MCP servers and plugins for any AI tool, then wire them into the systems your team already runs on.
MCP servers and custom plugin builds
Personal, internal, and business AI integrations
CRM, calendar, email, messaging, and API-connected tools
Platform coverage
Any AI tool
We build plugins and MCP servers for personal assistants, internal copilots, and business AI systems.
Claude Code
Developer-facing tooling that fits real coding, review, and delivery workflows.
OpenCode
Extensions that improve coding workflows, context handling, and tool access.
Business systems
CRM, calendar, inbox, messaging, and internal platforms with usable APIs.
MCP Servers
Model Context Protocol servers with usable tools, docs, and local-first workflows.
n8n + APIs
Workflow automation layers that connect assistants to operational systems.
Quick explainer
What MCP servers and plugins actually do
A simple explanation of the two most common building blocks behind these AI integrations.
What is an AI plugin?
An AI plugin is a tool layer that lets an assistant call outside systems, trigger workflows, or retrieve data. Plugins are useful when an AI tool needs to interact with your CRM, calendar, email, messaging, or another API-backed platform.
What we build
Turns AI into the ultimate personal assistant
We give your AI access to the tools it needs to handle real work across your CRM, calendar, email, messaging, and other systems your team already uses.
Plugins for any AI tool
Everyday Workflows builds plugins and tool layers for personal assistants, business copilots, and developer-facing AI products.
Claude Code and OpenCode extensions
OpenAI-compatible tool calling interfaces
Custom assistant plugins for internal or client-facing AI
MCP servers that connect to real systems
We ship MCP servers that give AI tools structured access to business platforms instead of trapping them in chat.
Typed tool schemas and validation
Local-first workflows when privacy matters
Transport, docs, and operational guardrails
API integrations across your stack
We connect AI to CRM, calendar, email, messaging, and other API-backed platforms so it can act inside the systems your team already uses.
CRM, calendar, and inbox integrations
Messaging and notification workflows
Any platform with an accessible API
Production packaging
The final deliverable includes more than code: docs, examples, install steps, and structure for future iteration.
README and onboarding docs
Config examples and environment guidance
Testing, versioning, and release readiness
Recent builds
Real examples across MCP, AI plugins, and API-connected workflows
A few examples pulled from actual work: local-first MCP servers, assistant plugins, developer extensions, and integrations that connect AI tools to live systems.
Contract PDF MCP Server
Local-first markdown-to-PDF workflows with DocuSeal handoff
An MCP server that turns markdown contracts into branded HTML and PDF outputs, supports reusable templates, and can hand documents off for signature without relying on a hosted contract builder.
Runs across
MCPClaudeClaude CodeOpenCode
Stack
TypeScriptPlaywrightDocuSealHTML/CSS Templates
Why it matters
Built as a local-first MCP server with reusable templates and signing flow support.
OpenCode Dynamic Context Pruning
Token-aware compression for longer coding sessions
An OpenCode plugin that manages conversation context with targeted compression, pruning, and protected-state rules so coding sessions stay accurate and efficient as they grow.
Runs across
OpenCodeClaude Code
Stack
TypeScriptJSONCCompression Tooling
Why it matters
Ships autonomous and manual compression flows for agentic development work.
OpenCode Smart Title Plugin
Automatic session naming when work changes
A lightweight OpenCode plugin that watches activity and generates session titles when conversations go idle, making multi-session work easier to scan and organize.
Runs across
OpenCode
Stack
TypeScriptJSONCAI Providers
Why it matters
Designed to reduce manual cleanup in fast-moving coding workflows.
Deep Research Plugin
Research workflows powered by Jina tools and OpenAI-style specs
A plugin that combines structured research planning with search, reading, extraction, and ranking tools, using OpenAI-compatible tool schemas so it can fit modern assistant ecosystems cleanly.
Runs across
OpenAI-compatibleTypingMindClaude workflows
Stack
JavaScriptJina SearchJina ReaderOpenAI tool schemas
Why it matters
Includes configurable tool budgets, structured plans, and multi-step research tooling.
n8n Chat Plugin
Assistant plugin that talks directly to an n8n agent workflow
A plugin pattern that forwards assistant requests into an n8n chat agent, preserving session state and enabling AI assistants to trigger real workflow logic behind the scenes.
Runs across
OpenAI-compatibleTypingMindn8n
Stack
JavaScriptWebhooksn8nOpenAI tool schemas
Why it matters
Bridges assistant tool calls into a live n8n webhook-driven agent flow.
LINQ n8n Community Node
Custom n8n node for chats, webhooks, contacts, and messaging
A community-maintained n8n node for the Linq Partner API that supports chats, messages, attachments, phone numbers, webhook subscriptions, contacts, and trigger-driven workflows.
Runs across
n8nMCP-ready backendsMessaging workflows
Stack
TypeScriptn8nNode.jsLinq Partner API
Why it matters
Ships both an action node and a trigger node with webhook signature verification.
More examples
Other applied use cases we build for
A wider set of examples for teams that want AI connected to real systems, not just a standalone chat interface.
CRM & sales
CRM assistant
An AI assistant that reads lead context, updates records, drafts follow-ups, and logs activity across the sales workflow.
CRMEmailCalendar
Calendar & inbox
Calendar and email assistant
An assistant that checks availability, drafts responses, proposes meeting times, and creates events without bouncing between tools.
CalendarEmailScheduling
Inbox operations
Inbox triage assistant
An AI layer that reads inbound emails, classifies messages, routes them, and prepares responses for the right team or workflow.
InboxHelpdeskInternal routing
Messaging
Messaging assistant
A connected assistant for SMS, chat, or iMessage-style workflows that handles replies, reminders, and escalations.
SMSChatNotifications
Support
Support copilot
An assistant that looks up customer, order, or account data and drafts support responses with the right context already attached.
SupportCRMOrders
Internal knowledge
Knowledge base assistant
A plugin or MCP layer that lets AI search SOPs, internal docs, wikis, and reference data across company systems.
DocsWikiDatabase
Documents
Proposal and contract workflow
An AI workflow that gathers inputs, drafts documents, routes approvals, sends signature requests, and updates records after completion.
DocsSignaturesCRM
Onboarding
Client onboarding assistant
An assistant that creates records, sends forms, schedules kickoff, and tracks setup progress across multiple onboarding systems.
FormsCRMCalendar
Recruiting
Recruiting assistant
A connected AI assistant that reviews applicants, coordinates interviews, and updates ATS or recruiting workflows.
ATSCalendarEmail
Analytics
Reporting and analytics assistant
An AI assistant that queries dashboards, KPI sources, or databases and returns structured summaries instead of manual reporting.
BIDatabaseDashboards
Automation
n8n-connected operator
An assistant that triggers workflows, waits for results, and continues multi-step operations across automation tools and APIs.
n8nWebhooksAPIs
Internal systems
Custom internal API assistant
A private plugin or MCP layer that connects AI to proprietary tools, admin systems, and internal back-office operations.
Private APIsAdmin toolsInternal systems
Choose the right layer
MCP servers vs. plugins vs. direct integrations
Different AI integration patterns solve different problems. The right choice depends on whether your AI needs a native extension surface, a reusable tool layer, or a fixed backend workflow.
Layer
Best for
Primary strength
MCP server
Giving AI structured access to multiple tools and data sources
Reusable tool layer with explicit actions and validation
Plugin
Extending a specific AI product with native tool access
Best when the host assistant supports an extension surface
Direct integration
Backend workflows that do not need an interactive assistant layer
Great for fixed automation between systems and APIs
Delivery model
Built for host-platform reality, not just demos
These projects usually touch auth, schemas, install ergonomics, agent behavior, docs, and operational workflows. We design with those constraints up front so the final build is easier to maintain and easier to trust.
Map the host product first
Every build starts with the host platform’s constraints: install model, schema rules, auth, tool ergonomics, and what success looks like for the user.
Design safe tool boundaries
We keep inputs explicit, validate aggressively, and shape tools so failures are diagnosable instead of mysterious.
Make it useful in production
That means docs, examples, sensible defaults, support for real APIs, and compatibility with adjacent systems like n8n and MCP clients.
Ship for iteration
The result should be easy to maintain, easy to demo, and ready for the next version instead of trapped in a one-off proof of concept.
Common questions
FAQs about AI plugins, MCP servers, and integrations
What can Everyday Workflows connect an AI tool to?
Everyday Workflows can connect AI tools to CRM platforms, calendars, email systems, messaging platforms, internal databases, workflow tools, and other software with an accessible API.
Do you only build for Claude Code or OpenCode?
No. Everyday Workflows builds MCP servers and plugins for Claude Code, OpenCode, personal assistants, internal business AI systems, and other AI tools that support extensions, tool calling, or external integrations.
When should a business use an MCP server instead of a direct integration?
An MCP server is useful when an AI tool needs reusable, governed access to multiple actions or data sources. Direct integrations are often better for fixed backend workflows, while plugins help when the host AI product needs a native extension surface.
Can these builds work with n8n and existing automation systems?
Yes. Everyday Workflows regularly designs plugin and MCP layers that connect into n8n, webhook flows, and existing automation stacks so AI can trigger real operational workflows safely.
Ready to build
Need AI to talk to your CRM, calendar, email, or messaging stack?
Everyday Workflows can design the right MCP server or plugin layer so your AI tool can interact with the systems your team already relies on.